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7/3*x3 + 6*x + 9* tan-1x + C
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Pittsburgh Pirates Dataset in SPSS
Perform a multiple linear regression on the Pittsburgh Pirates Dataset in SPSS (you should use the dataset provided here a ...
Pittsburgh Pirates Dataset in SPSS
Perform a multiple linear regression on the Pittsburgh Pirates Dataset in SPSS (you should use the dataset provided here and should not create any new variables in SPSS). Try to select the variables that you think will affect the attendance and that make sense. The goal of the regression is to get the adjusted R Square as high as possible (but be careful not to run into multicollinearity issues). Run various linear regressions and compare the adjusted R Squares with each other. Report the results for the model with the highest R Square.Prepare a two-page report in which you report the "coefficients" table that SPSS provides in the output and the "model summary" table which includes the adjusted R Square. Report which steps you have taken to arrive at the final results. Did you run into any problems and/or challenges? Report them! If you excluded certain variables because of outliers or multicollinearity problems, please explain. Submit your report before the end of Week 10.Hint 1: Use attendance as the dependent variable. Select your independent variables carefully. Hint 2: If you include the days of the week and/or the months of the year as dependent variables, make sure you exclude one day of the week and one month of the year from your independent variables (if you do not do that you may run into problems with the full rank assumption; SPSS will automatically exclude any variables that will cause full rank problems, but it is better to exclude them yourself)
use the differential equation given by dy/dx=xy/3 , y > 0.
For Questions 1-3, use the differential equation given by dy/dx=xy/3 , y > 0.
Complete the table of values
x -1 -1 - ...
use the differential equation given by dy/dx=xy/3 , y > 0.
For Questions 1-3, use the differential equation given by dy/dx=xy/3 , y > 0.
Complete the table of values
x -1 -1 -1 0 0 0 1 1 1
y 1 2 3 1 2 3 1 2 3
dy/dx
On the axes below, sketch a slope field for the given differential equation using the nine points on the table that you found.
Find the particular solution y = f(x) to the given differential equation with the initial condition f(0) = 4.
Use the following information for Questions 4 and 5.
Newton's law of cooling states that the rate of cooling of an object is proportional to the temperature difference between the object and its surroundings. So the rate of cooling for a bottle of lemonade at a room temperature of 75F Which is placed into a refrigerator with temperature of 38F can be modeled by dT/dt=k(T-38) Where T(t) is he temperature of the lemonade after t minutes and T(0)=75. After 30mins the lemonade has cooled to 60F, so T(30)=60.
4. To the nearest degree, what is the temperature of the lemonade after an additional 30 minutes?
5. To the nearest minute, how long does it take for the lemonade to cool to 55F?
7 pages
Spss Data Analysis
1 Compare the means of 2 different groups: use two different continuous variable items. -1a. Display two t-test statistics ...
Spss Data Analysis
1 Compare the means of 2 different groups: use two different continuous variable items. -1a. Display two t-test statistics (ex. Fig. 9.5, Marston) and ...
Walden Wk 5 Evaluating Significance of Findings in Scenario Discussions
Use some of the same sources from week 5 discussion questions and the sources listed in this instrutionsFor this Assignmen ...
Walden Wk 5 Evaluating Significance of Findings in Scenario Discussions
Use some of the same sources from week 5 discussion questions and the sources listed in this instrutionsFor this Assignment, you will examine statistical significance and meaningfulness based on sample statements.To prepare for this Assignment:Review the Week 5 Scenarios found in this week’s Learning Resources and select two of the four scenarios for this Assignment.For additional support, review the Skill Builder: Evaluating P Values and the Skill Builder: Statistical Power, which you can find by navigating back to your Blackboard Course Home Page. From there, locate the Skill Builder link in the left navigation pane.For this Assignment:Critically evaluate the two scenarios you selected based upon the following points:Critically evaluate the sample size.Critically evaluate the statements for meaningfulness.Critically evaluate the statements for statistical significance.Based on your evaluation, provide an explanation of the implications for social change.Use proper APA format and citations, and referencing.
Week 4 Discussion: Logistic Regression Values
This week’s readings discuss conditional probabilities, conditional odds, logits, odds ratios, relative risk, and slopes ...
Week 4 Discussion: Logistic Regression Values
This week’s readings discuss conditional probabilities, conditional odds, logits, odds ratios, relative risk, and slopes. These can all be confusing terms but the good news is that all these values have some relationship to each other. Researchers have their own opinions on which values makes the most sense to report.By Day 3In a 2- to 3-paragraph post, construct a persuasive argument for the value (conditional probability, odds, odds ratio, etc.) that, intuitively, makes the most sense for you to report as a result to your audience. Be sure to provide a specific rationale for your choice.
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Pittsburgh Pirates Dataset in SPSS
Perform a multiple linear regression on the Pittsburgh Pirates Dataset in SPSS (you should use the dataset provided here a ...
Pittsburgh Pirates Dataset in SPSS
Perform a multiple linear regression on the Pittsburgh Pirates Dataset in SPSS (you should use the dataset provided here and should not create any new variables in SPSS). Try to select the variables that you think will affect the attendance and that make sense. The goal of the regression is to get the adjusted R Square as high as possible (but be careful not to run into multicollinearity issues). Run various linear regressions and compare the adjusted R Squares with each other. Report the results for the model with the highest R Square.Prepare a two-page report in which you report the "coefficients" table that SPSS provides in the output and the "model summary" table which includes the adjusted R Square. Report which steps you have taken to arrive at the final results. Did you run into any problems and/or challenges? Report them! If you excluded certain variables because of outliers or multicollinearity problems, please explain. Submit your report before the end of Week 10.Hint 1: Use attendance as the dependent variable. Select your independent variables carefully. Hint 2: If you include the days of the week and/or the months of the year as dependent variables, make sure you exclude one day of the week and one month of the year from your independent variables (if you do not do that you may run into problems with the full rank assumption; SPSS will automatically exclude any variables that will cause full rank problems, but it is better to exclude them yourself)
use the differential equation given by dy/dx=xy/3 , y > 0.
For Questions 1-3, use the differential equation given by dy/dx=xy/3 , y > 0.
Complete the table of values
x -1 -1 - ...
use the differential equation given by dy/dx=xy/3 , y > 0.
For Questions 1-3, use the differential equation given by dy/dx=xy/3 , y > 0.
Complete the table of values
x -1 -1 -1 0 0 0 1 1 1
y 1 2 3 1 2 3 1 2 3
dy/dx
On the axes below, sketch a slope field for the given differential equation using the nine points on the table that you found.
Find the particular solution y = f(x) to the given differential equation with the initial condition f(0) = 4.
Use the following information for Questions 4 and 5.
Newton's law of cooling states that the rate of cooling of an object is proportional to the temperature difference between the object and its surroundings. So the rate of cooling for a bottle of lemonade at a room temperature of 75F Which is placed into a refrigerator with temperature of 38F can be modeled by dT/dt=k(T-38) Where T(t) is he temperature of the lemonade after t minutes and T(0)=75. After 30mins the lemonade has cooled to 60F, so T(30)=60.
4. To the nearest degree, what is the temperature of the lemonade after an additional 30 minutes?
5. To the nearest minute, how long does it take for the lemonade to cool to 55F?
7 pages
Spss Data Analysis
1 Compare the means of 2 different groups: use two different continuous variable items. -1a. Display two t-test statistics ...
Spss Data Analysis
1 Compare the means of 2 different groups: use two different continuous variable items. -1a. Display two t-test statistics (ex. Fig. 9.5, Marston) and ...
Walden Wk 5 Evaluating Significance of Findings in Scenario Discussions
Use some of the same sources from week 5 discussion questions and the sources listed in this instrutionsFor this Assignmen ...
Walden Wk 5 Evaluating Significance of Findings in Scenario Discussions
Use some of the same sources from week 5 discussion questions and the sources listed in this instrutionsFor this Assignment, you will examine statistical significance and meaningfulness based on sample statements.To prepare for this Assignment:Review the Week 5 Scenarios found in this week’s Learning Resources and select two of the four scenarios for this Assignment.For additional support, review the Skill Builder: Evaluating P Values and the Skill Builder: Statistical Power, which you can find by navigating back to your Blackboard Course Home Page. From there, locate the Skill Builder link in the left navigation pane.For this Assignment:Critically evaluate the two scenarios you selected based upon the following points:Critically evaluate the sample size.Critically evaluate the statements for meaningfulness.Critically evaluate the statements for statistical significance.Based on your evaluation, provide an explanation of the implications for social change.Use proper APA format and citations, and referencing.
Week 4 Discussion: Logistic Regression Values
This week’s readings discuss conditional probabilities, conditional odds, logits, odds ratios, relative risk, and slopes ...
Week 4 Discussion: Logistic Regression Values
This week’s readings discuss conditional probabilities, conditional odds, logits, odds ratios, relative risk, and slopes. These can all be confusing terms but the good news is that all these values have some relationship to each other. Researchers have their own opinions on which values makes the most sense to report.By Day 3In a 2- to 3-paragraph post, construct a persuasive argument for the value (conditional probability, odds, odds ratio, etc.) that, intuitively, makes the most sense for you to report as a result to your audience. Be sure to provide a specific rationale for your choice.
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