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The right answer is D.
The two segments are equal. So 5x-7=3x+5
5x-3x=7+5
2x=12
x=12/2
x=6
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Data sets on scenarios
please help with 2 separate data sets based on scenarios. There's no paper to write. Further instructions and excel doc wi ...
Data sets on scenarios
please help with 2 separate data sets based on scenarios. There's no paper to write. Further instructions and excel doc will be provided.
University of the Cumberlands Correlations Mean Median and Mode Questions
Resources:https://youtu.be/pr_h-qsILoQhttps://youtu.be/vKGphOrzze81. Identify the mean, median, and mode for the following ...
University of the Cumberlands Correlations Mean Median and Mode Questions
Resources:https://youtu.be/pr_h-qsILoQhttps://youtu.be/vKGphOrzze81. Identify the mean, median, and mode for the following data set:Pool 1D20212324252525252526272. Find the mean, median and mode of these numbers: 5, 4, 2, 1, 6, 5, 3, 2, 4, 2, 5, 5, 2 Round all answers to the hundreth place.3. Identify the mean, median, and mode for the following data set:Pool 1E8888910124.Please interpret the results and write up the results according to the handbook for the following scenario. Is there a relationship between GPA and ACT composite scores? A student ran a correlation test and had the following results:GPAACT 2.517 SUMMARY OUTPUT 2.614 2.718 Regression Statistics 3.119 Multiple R0.83448 3.220 R Square0.696356 320 Adjusted R Square0.635627 3.521 Standard Error0.217244 Observations7 ANOVA dfSSMSFSignificance F Regression10.5411680.54116811.466660.019541 Residual50.2359750.047195 Total60.777143 CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 95.0%Upper 95.0% Intercept0.6080510.6943690.8756890.421268-1.176882.392983-1.176882.392983 ACT0.1266950.0374153.3862460.0195410.0305180.2228720.0305180.2228725. Please interpret the results and write up the results according to the handbook for the following scenario. Is there a relationship between time spent studying and quiz scores? A student ran a correlation test and had the following results:TimeScore SUMMARY OUTPUT 170 180 Regression Statistics 180 Multiple R0.781071 280 R Square0.610071 285 Adjusted R Square0.532086 385 Standard Error0.615457 390 Observations7 ANOVA dfSSMSFSignificance F Regression12.9632032.9632037.8228570.038131 Residual51.8939390.378788 Total64.857143 CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 95.0%Upper 95.0% Intercept-7.272733.272517-2.222370.076899-15.6851.139545-15.6851.139545 Score0.1121210.0400872.7969370.0381310.0090740.2151680.0090740.215168
Locate a CURRENT visual presentation of data in a newspaper, magazine, or internet article, and, if possible, attach it to your post, or give us a link to it so that we may find it
Answer should be informal, and around 2-3 paragraphs with 2 in-text citations from internet sources. See below f ...
Locate a CURRENT visual presentation of data in a newspaper, magazine, or internet article, and, if possible, attach it to your post, or give us a link to it so that we may find it
Answer should be informal, and around 2-3 paragraphs with 2 in-text citations from internet sources. See below for question. (I check for plagiarism)Locate a CURRENT visual presentation of data in a newspaper, magazine, or internet article, and, if possible, attach it to your post, or give us a link to it so that we may find it. Outline what is being represented in the information, and then determine whether any visual displays are being used to mislead the viewer. Argue your point for thinking this, and if there are abuses, what could be done to correct them?
MAT 240 SNHU Relationship BW Selling Price of Properties and Their Sizes Analysis
ScenarioSmart businesses in all industries use data to provide an intuitive
analysis of how they can ge ...
MAT 240 SNHU Relationship BW Selling Price of Properties and Their Sizes Analysis
ScenarioSmart businesses in all industries use data to provide an intuitive
analysis of how they can get a competitive advantage. The real estate
industry heavily uses linear regression to estimate home prices, as cost
of housing is currently the largest expense for most families.
Additionally, in order to help new homeowners and home sellers with
important decisions, real estate professionals need to go beyond showing
property inventory. They need to be well versed in the relationship
between price, square footage, build year, location, and so many other
factors that can help predict the business environment and provide the
best advice to their clients.PromptYou have been recently hired as a junior analyst by D.M. Pan Real
Estate Company. The sales team has tasked you with preparing a report
that examines the relationship between the selling price of properties
and their size in square feet. You have been provided with a Real Estate County Data
document that includes properties sold nationwide in recent years. The
team has asked you to select a region, complete an initial analysis, and
provide the report to the team.Note: In the report you prepare for the sales team,
the response variable (y) should be the median listing price and the
predictor variable (x) should be the median square feet.Specifically you must address the following rubric criteria, using the Module Two Assignment Template:Generate a Representative Sample of the Data
Select a region and generate a simple random sample of 30 from the data.Report the median listing price and median square foot, report the mean, median, and standard deviation.
Analyze Your Sample
Discuss how the regional sample created is or is not reflective of the national market.
Compare and contrast your sample with the population using the National Statistics and Graphs document.
Explain how you have made sure that the sample is random.
Explain your methods to get a truly random sample.
Generate Scatterplot
Create a scatterplot of the x and y variables noted above and include a trend line and the regression equation
Observe patterns
Answer the following questions based on the scatterplot:
Define x and y. Which variable is useful for making predictions?Is there an association between x and y? Describe the association you see in the scatter plot.What do you see as the shape (linear or nonlinear)?If you had a 1,200 square foot house, based on the regression equation in the graph, what price would you choose to list at?Do you see any potential outliers in the scatterplot?
Why do you think the outliers appeared in the scatterplot you generated?What do they represent?
Case Study
Case Problem Specialty Toys:Specialty Toys, Inc., sells a variety of new and innovative children’s toys. Management lear ...
Case Study
Case Problem Specialty Toys:Specialty Toys, Inc., sells a variety of new and innovative children’s toys. Management learned that the preholiday season is the best time to introduce a new toy, because many families use this time to look for new ideas for December holiday gifts. When Specialty discovers a new toy with good market potential, it chooses an October market entry date.In order to get toys in its stores by October, Specialty places one-time orders with its manufacturers in June or July of each year. Demand for children’s toys can be highly volatile. If a new toy catches on, a sense of shortage in the marketplace often increases the demand to high levels and large profits can be realized. However, new toys can also flop, leaving Specialty stuck with high levels of inventory that must be sold at reduced prices. The most important question the company faces is deciding how many units of a new toy should be purchased to meet anticipated sales demand. If too few are purchased, sales will be lost; if too many are purchased, profits will be reduced because of low prices realized in clearance sales.For the coming season, Specialty plans to introduce a new product called Weather Teddy. This variation of a talking teddy bear is made by a company in Taiwan. When a child presses Teddy’s hand, the bear begins to talk. A built-in barometer selects one of five responses that predict the weather conditions. The responses range from “It looks to be a very nice day! Have fun” to “I think it may rain today. Don’t forget your umbrella.” Tests with the product show that, even though it is not a perfect weather predictor, its predictions are surprisingly good. Several of Specialty’s managers claimed Teddy gave predictions of the weather that were as good as many local television weather forecasters.As with other products, Specialty faces the decision of how many Weather Teddy units to order for the coming holiday season. Members of the management team suggested order quantities of 15,000, 18,000, 24,000, or 28,000 units. The wide range of order quantities suggested indicates considerable disagreement concerning the market potential. The product management team asks you for an analysis of the stock-out probabilities for various order quantities, an estimate of the profit potential, and to help make an order quantity recommendation. Specialty expects to sell Weather Teddy for $24 based on a cost of $16 per unit. If inventory remains after the holiday season, Specialty will sell all surplus inventory for $5 per unit. After reviewing the sales history of similar products, Specialty’s senior sales forecaster predicted an expected demand of 20,000 units with a .95 probability that demand would be between 10,000 units and 30,000 units.Managerial ReportPrepare a managerial report that addresses the following issues and recommends an order quantity for the Weather Teddy product.1. Use the sales forecaster’s prediction to describe a normal probability distribution that can be used to approximate the demand distribution. Sketch the distribution and show its mean and standard deviation.2. Compute the probability of a stock-out for the order quantities suggested by members of the management team.3. Compute the projected profit for the order quantities suggested by the management team under three scenarios: worst case in which sales = 10,000units, most likely case in which sales = 20,000units, and best case in which sales = 30,000units.4. One of Specialty’s managers felt that the profit potential was so great that the order quantity should have a 70% chance of meeting demand and only a 30% chance of any stock-outs. What quantity would be ordered under this policy, and what is the projected profit under the three sales scenarios?5. Provide your own recommendation for an order quantity and note the associated profit projections. Provide a rationale for your recommendation.
7 pages
Solution Fst
1. If f(x) = x - bx + cx - d has a factor of (x - 12), what does f(12) equal? 2. The graph of h(x) = x3 - x2 - 21x + 45 cr ...
Solution Fst
1. If f(x) = x - bx + cx - d has a factor of (x - 12), what does f(12) equal? 2. The graph of h(x) = x3 - x2 - 21x + 45 crosses the x-axis at -5. ...
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Most Popular Content
Data sets on scenarios
please help with 2 separate data sets based on scenarios. There's no paper to write. Further instructions and excel doc wi ...
Data sets on scenarios
please help with 2 separate data sets based on scenarios. There's no paper to write. Further instructions and excel doc will be provided.
University of the Cumberlands Correlations Mean Median and Mode Questions
Resources:https://youtu.be/pr_h-qsILoQhttps://youtu.be/vKGphOrzze81. Identify the mean, median, and mode for the following ...
University of the Cumberlands Correlations Mean Median and Mode Questions
Resources:https://youtu.be/pr_h-qsILoQhttps://youtu.be/vKGphOrzze81. Identify the mean, median, and mode for the following data set:Pool 1D20212324252525252526272. Find the mean, median and mode of these numbers: 5, 4, 2, 1, 6, 5, 3, 2, 4, 2, 5, 5, 2 Round all answers to the hundreth place.3. Identify the mean, median, and mode for the following data set:Pool 1E8888910124.Please interpret the results and write up the results according to the handbook for the following scenario. Is there a relationship between GPA and ACT composite scores? A student ran a correlation test and had the following results:GPAACT 2.517 SUMMARY OUTPUT 2.614 2.718 Regression Statistics 3.119 Multiple R0.83448 3.220 R Square0.696356 320 Adjusted R Square0.635627 3.521 Standard Error0.217244 Observations7 ANOVA dfSSMSFSignificance F Regression10.5411680.54116811.466660.019541 Residual50.2359750.047195 Total60.777143 CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 95.0%Upper 95.0% Intercept0.6080510.6943690.8756890.421268-1.176882.392983-1.176882.392983 ACT0.1266950.0374153.3862460.0195410.0305180.2228720.0305180.2228725. Please interpret the results and write up the results according to the handbook for the following scenario. Is there a relationship between time spent studying and quiz scores? A student ran a correlation test and had the following results:TimeScore SUMMARY OUTPUT 170 180 Regression Statistics 180 Multiple R0.781071 280 R Square0.610071 285 Adjusted R Square0.532086 385 Standard Error0.615457 390 Observations7 ANOVA dfSSMSFSignificance F Regression12.9632032.9632037.8228570.038131 Residual51.8939390.378788 Total64.857143 CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 95.0%Upper 95.0% Intercept-7.272733.272517-2.222370.076899-15.6851.139545-15.6851.139545 Score0.1121210.0400872.7969370.0381310.0090740.2151680.0090740.215168
Locate a CURRENT visual presentation of data in a newspaper, magazine, or internet article, and, if possible, attach it to your post, or give us a link to it so that we may find it
Answer should be informal, and around 2-3 paragraphs with 2 in-text citations from internet sources. See below f ...
Locate a CURRENT visual presentation of data in a newspaper, magazine, or internet article, and, if possible, attach it to your post, or give us a link to it so that we may find it
Answer should be informal, and around 2-3 paragraphs with 2 in-text citations from internet sources. See below for question. (I check for plagiarism)Locate a CURRENT visual presentation of data in a newspaper, magazine, or internet article, and, if possible, attach it to your post, or give us a link to it so that we may find it. Outline what is being represented in the information, and then determine whether any visual displays are being used to mislead the viewer. Argue your point for thinking this, and if there are abuses, what could be done to correct them?
MAT 240 SNHU Relationship BW Selling Price of Properties and Their Sizes Analysis
ScenarioSmart businesses in all industries use data to provide an intuitive
analysis of how they can ge ...
MAT 240 SNHU Relationship BW Selling Price of Properties and Their Sizes Analysis
ScenarioSmart businesses in all industries use data to provide an intuitive
analysis of how they can get a competitive advantage. The real estate
industry heavily uses linear regression to estimate home prices, as cost
of housing is currently the largest expense for most families.
Additionally, in order to help new homeowners and home sellers with
important decisions, real estate professionals need to go beyond showing
property inventory. They need to be well versed in the relationship
between price, square footage, build year, location, and so many other
factors that can help predict the business environment and provide the
best advice to their clients.PromptYou have been recently hired as a junior analyst by D.M. Pan Real
Estate Company. The sales team has tasked you with preparing a report
that examines the relationship between the selling price of properties
and their size in square feet. You have been provided with a Real Estate County Data
document that includes properties sold nationwide in recent years. The
team has asked you to select a region, complete an initial analysis, and
provide the report to the team.Note: In the report you prepare for the sales team,
the response variable (y) should be the median listing price and the
predictor variable (x) should be the median square feet.Specifically you must address the following rubric criteria, using the Module Two Assignment Template:Generate a Representative Sample of the Data
Select a region and generate a simple random sample of 30 from the data.Report the median listing price and median square foot, report the mean, median, and standard deviation.
Analyze Your Sample
Discuss how the regional sample created is or is not reflective of the national market.
Compare and contrast your sample with the population using the National Statistics and Graphs document.
Explain how you have made sure that the sample is random.
Explain your methods to get a truly random sample.
Generate Scatterplot
Create a scatterplot of the x and y variables noted above and include a trend line and the regression equation
Observe patterns
Answer the following questions based on the scatterplot:
Define x and y. Which variable is useful for making predictions?Is there an association between x and y? Describe the association you see in the scatter plot.What do you see as the shape (linear or nonlinear)?If you had a 1,200 square foot house, based on the regression equation in the graph, what price would you choose to list at?Do you see any potential outliers in the scatterplot?
Why do you think the outliers appeared in the scatterplot you generated?What do they represent?
Case Study
Case Problem Specialty Toys:Specialty Toys, Inc., sells a variety of new and innovative children’s toys. Management lear ...
Case Study
Case Problem Specialty Toys:Specialty Toys, Inc., sells a variety of new and innovative children’s toys. Management learned that the preholiday season is the best time to introduce a new toy, because many families use this time to look for new ideas for December holiday gifts. When Specialty discovers a new toy with good market potential, it chooses an October market entry date.In order to get toys in its stores by October, Specialty places one-time orders with its manufacturers in June or July of each year. Demand for children’s toys can be highly volatile. If a new toy catches on, a sense of shortage in the marketplace often increases the demand to high levels and large profits can be realized. However, new toys can also flop, leaving Specialty stuck with high levels of inventory that must be sold at reduced prices. The most important question the company faces is deciding how many units of a new toy should be purchased to meet anticipated sales demand. If too few are purchased, sales will be lost; if too many are purchased, profits will be reduced because of low prices realized in clearance sales.For the coming season, Specialty plans to introduce a new product called Weather Teddy. This variation of a talking teddy bear is made by a company in Taiwan. When a child presses Teddy’s hand, the bear begins to talk. A built-in barometer selects one of five responses that predict the weather conditions. The responses range from “It looks to be a very nice day! Have fun” to “I think it may rain today. Don’t forget your umbrella.” Tests with the product show that, even though it is not a perfect weather predictor, its predictions are surprisingly good. Several of Specialty’s managers claimed Teddy gave predictions of the weather that were as good as many local television weather forecasters.As with other products, Specialty faces the decision of how many Weather Teddy units to order for the coming holiday season. Members of the management team suggested order quantities of 15,000, 18,000, 24,000, or 28,000 units. The wide range of order quantities suggested indicates considerable disagreement concerning the market potential. The product management team asks you for an analysis of the stock-out probabilities for various order quantities, an estimate of the profit potential, and to help make an order quantity recommendation. Specialty expects to sell Weather Teddy for $24 based on a cost of $16 per unit. If inventory remains after the holiday season, Specialty will sell all surplus inventory for $5 per unit. After reviewing the sales history of similar products, Specialty’s senior sales forecaster predicted an expected demand of 20,000 units with a .95 probability that demand would be between 10,000 units and 30,000 units.Managerial ReportPrepare a managerial report that addresses the following issues and recommends an order quantity for the Weather Teddy product.1. Use the sales forecaster’s prediction to describe a normal probability distribution that can be used to approximate the demand distribution. Sketch the distribution and show its mean and standard deviation.2. Compute the probability of a stock-out for the order quantities suggested by members of the management team.3. Compute the projected profit for the order quantities suggested by the management team under three scenarios: worst case in which sales = 10,000units, most likely case in which sales = 20,000units, and best case in which sales = 30,000units.4. One of Specialty’s managers felt that the profit potential was so great that the order quantity should have a 70% chance of meeting demand and only a 30% chance of any stock-outs. What quantity would be ordered under this policy, and what is the projected profit under the three sales scenarios?5. Provide your own recommendation for an order quantity and note the associated profit projections. Provide a rationale for your recommendation.
7 pages
Solution Fst
1. If f(x) = x - bx + cx - d has a factor of (x - 12), what does f(12) equal? 2. The graph of h(x) = x3 - x2 - 21x + 45 cr ...
Solution Fst
1. If f(x) = x - bx + cx - d has a factor of (x - 12), what does f(12) equal? 2. The graph of h(x) = x3 - x2 - 21x + 45 crosses the x-axis at -5. ...
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