Description
Find the equation of the line through the points (2, 2) and (4, 10).
Find f(-2) for the following piecewise function.
What is the equation of the line between the points (2, 8) and (3, 2)?
User generated content is uploaded by users for the purposes of learning and should be used following Studypool's honor code & terms of service.
Explanation & Answer
It is the same problem I solved in the other question.
y = mx + b
step 1: Calculate m
m = (y1-y0)/(x1-x0)
P1(2,2) and P0(4,10)
x1=2, x0=4, y1=2, y0=10
m= (2-10)/(2-4) = -8/-2 = 4
step 2: Calculate b
Let's take P1(2,2)
y=2, x=2, m=4
y = mx + b
2 = 4 (2) + b
2 = 8 + b
b= 2-8 = -6
Solution: y = 4x -6
If you want to evaluate the function for x=-2
f(x) = 4x - 6
f(-2) = 4(-2) - 6 = -8 - 6 = -14
2) P1(2,8) and P0(3,2)
x1=2, x0=3, y1=8, y0=2
step 1: calculate m
m= (y1-y0)/(x1-x0) = (8-2)/(2-3) = 6/(-1) = -6
step 2: calculate b
let's take the point P1(2,8)
x=2, y=8, m = -6
y = mx + b
8=-6(2) + b
8=-12+b
b=8+12 = 20
Solution: y = -6x + 20
f(x) = -6x + 20
f(-2) = -6 (-2) + 20 = 12 + 20 = 32
Completion Status:
100%
Review
Review
Anonymous
I use Studypool every time I need help studying, and it never disappoints.
Studypool
4.7
Trustpilot
4.5
Sitejabber
4.4
24/7 Homework Help
Stuck on a homework question? Our verified tutors can answer all questions, from basic math to advanced rocket science!
Most Popular Content
BUSN 340 week 3 main post
Refer to the real estate data located in the Resources folder of Blackboard or in the text. Compute the probability that ...
BUSN 340 week 3 main post
Refer to the real estate data located in the Resources folder of Blackboard or in the text. Compute the probability that a home in Township 3 has a pool. Then compute the probability that a home is in Township 3 and has a pool (compare to all homes in the sample). Statistical tools may be used to compute these probabilities through creating a table of the data. (SPSS: Analyze – Descriptive Stat – Crosstab, Row = Pool and Column = Township). (Minitab: File – Open Worksheet – Select the Real Estate Excel data file – Stat – Tables – Descriptive Statistics, Row = Pool and Column = Township).Explain how these probabilities would help a realtor to serve his or her clients better.Today, we live in a world where probabilities are quoted all the time from stormy weather to car safety and movie ratings. Select a probability that you rely on all the time and identify two probability concepts covered in this week's reading assignment. Identify whether your reliance on this probability can lead you to reevaluate reliance. 250-300 words in APA format.
Analyze a Fictitious Statistical Study
For this assignment follow the Instructions Below:InstructionsCarefully review the information provided below about the ...
Analyze a Fictitious Statistical Study
For this assignment follow the Instructions Below:InstructionsCarefully review the information provided below about the fictitious study, then address each assignment requirement. Scenario:You are the new director of institutional research at a small state university, and you have been assigned the task of analyzing information for the dean of the School of Education regarding the performance of their undergraduate students on the often-controversial Graduate Record Exam (GRE). Many educators believe the GRE is a poor evaluator of undergraduate performance as well as a poor predictor of graduate school performance. The dean is considering eliminating the GRE from graduate school admissions requirements.The dean has already collected data on four variables: 1) gender, 2) grade point average (GPA), 3) GRE score, and 4) graduate degree completion frequency. Your job is to develop a proposed analysis to assist the dean to make an informed decision regarding the future use of the GRE.Note:(For this assignment, you don’t have to produce any data. This assignment is asking for you to develop the analyses to answer the different questions (see below 1 – 4); relationships questions (What analyses can you use for relationship questions? What types of data (level of measurement)?), for effect questions (What analyses can you use to test for effects of independent variables on dependent variables?) Think on the levels of the independent variables. What types of data (nominal, ordinal, interval, ratio)?), and interaction effects between independent variables. You should also discuss the assumptions of each test. No data is required to be presented. This is similar to a question that you will encounter in your Doctoral Comprehensive Exams. You should provide information that shows your understanding of the different types of analyses, as well as possible outcomes of the analyses. In addition, you have to include in your discussion the possible conclusions based on the possible results; rejecting the null, and not rejecting the null. Using this information, develop the following foundational components for a proposed analysis:A relationship research question involving GPA and GRE scores; corresponding null and alternative hypotheses; the type of statistical analysis to be employed to determine significance; explanations of fictitious outcomes identifying both non-significant and significant relationships as related to both null and alternative hypotheses; and recommendations based on non-significant and significant findings.A relationship research question involving gender, GPA, and GRE scores; corresponding null and alternative hypotheses; the type of statistical analysis to be employed to determine significance; explanations of fictitious outcomes identifying both non-significant and significant relationships as related to both null and alternative hypotheses; and recommendations based on non-significant and significant findings.An effect research question involving gender and GRE scores; corresponding null and alternative hypotheses; the type of statistical analysis to be employed to determine significance; explanations of fictitious outcomes identifying both a non-significant and a significant effect as related to both null and alternative hypotheses; and recommendations based on non-significant and significant findings.An effect research question involving gender, GRE score, and degree completion frequency; corresponding null and alternative hypotheses; the type of statistical analysis to be employed to determine significance; explanations of fictitious outcomes identifying both a non-significant and a significant effect as related to both null and alternative hypotheses; and recommendations based on non-significant and significant findings.Finalize your report with a written analysis of your results and recommendations for the dean based on your findings.Support your assignment with at least five scholarly resources. In addition to these specified resources, other appropriate scholarly resources, including older articles, may be included.Length: 12 pages, not including title and reference pagesattached is a reporting stats in apa style
ISDS 7302 Louisiana State University Mod 5 Factors Affecting Graduation Rate Logistic Regression Model
Module 5 AssignmentIn this assignment you will build a logistic regression model to explain and to predict. First, you bui ...
ISDS 7302 Louisiana State University Mod 5 Factors Affecting Graduation Rate Logistic Regression Model
Module 5 AssignmentIn this assignment you will build a logistic regression model to explain and to predict. First, you build a model to assess if on-campus living increases the odds for of gradation within 5 years. Then you use the model to predict whether a student graduates. For background information read the article attached page 1-8. Pages 14-23 may help you to understand prediction analysis. When creating your report, you should:Explaining:Review the dependent variable GRAD-BUS5.Using all data run a model in JMP with GRAD-BUS5 as the outcome variable (Y) and OnCampus as independent variable (X). Interpret result with respect to the factor OnCampus. Evaluate each of the predictors to assess outliers, missing values, data type and necessary binning. Bin predictors as necessary. Using all data build a model that includes OnCampus and any other predictor that should be in the model.Interpret result with respect to the factor OnCampus again. Prediction:
To build a prediction model first create a validation column using a random split 70% training and 30% validation. Build a model to predict graduation using the training set.Obtain all the metrics for the validation set: Error, confusion matrix, ROC and Lift curve. Use the spreadsheet provided in the assignment to provide the confusion matrix for the validation set in the appendix. You can cut and past the information from JMP and then copy the confusion matrix into the appendix of the report.Report and interpret sensitivity, specificity, false positive and false negative rate, overall error rate.Add the ROC and Lift curve in the appendix and interpret them in your report.In your conclusion explain if OnCampus living improving 5-Year graduation rates. Provide strengths and weaknesses of the model for prediction.
Prepare the report using the following formatting guidelines:1 page, single-spaced report using 0.5 margins and two-column and portrait format (column width between 3.5'-3.6)1 page for the appendixInclude title of report, then FirstName, LastName, ISDS course #, Assignment #, date (00/00/00) in the header as in the sample assignment. 10 pt Font Calibri or Times New RomanJustified as sample reportCreate headings for each sectionList any references used (e.g. Module 1 Resources)Include a title for your report e.g. "Text Analysis of ...." and create headings for each sectionInclude supporting relevant figures from the analysis in your AppendixSubmit as pdf only with filename first name initial last name and assignment number (for instance HSchneider#1)
Be sure to review the Assignment Rubric and Assignment 5 Example attached below
Similar Content
Double and Half Angle Worksheets
sin(A)=(4/5), ((pi/2)<A<pi), tan(B)=(-12/5), ((3pi/2)<B<2pi)sin((1/2)A)?cos((1/2)A)?...
factoring trinomials
Factoring trinomials. Hint from my teacher was to look for a perfect square, but i have been having trouble with it.r^2-s^...
Math homework help needed
...
What measures of central tendency or variation, Math300 Week 3 Response Post help
Respond to, add to, agree, or disagree to this post in 50 words or more. What measures of ...
Inferences rule and hypothetical syllogism (one paragraph long)
I was wondering if you can help me with this basic assignment I have for my discrete math class. A paragraph long full ans...
all i need you to do is complete the asssignment
all i need you to do is complete the assignment that i have started on already. i will provide the link and stuff when tou...
Related Tags
Book Guides
Get 24/7
Homework help
Our tutors provide high quality explanations & answers.
Post question
Most Popular Content
BUSN 340 week 3 main post
Refer to the real estate data located in the Resources folder of Blackboard or in the text. Compute the probability that ...
BUSN 340 week 3 main post
Refer to the real estate data located in the Resources folder of Blackboard or in the text. Compute the probability that a home in Township 3 has a pool. Then compute the probability that a home is in Township 3 and has a pool (compare to all homes in the sample). Statistical tools may be used to compute these probabilities through creating a table of the data. (SPSS: Analyze – Descriptive Stat – Crosstab, Row = Pool and Column = Township). (Minitab: File – Open Worksheet – Select the Real Estate Excel data file – Stat – Tables – Descriptive Statistics, Row = Pool and Column = Township).Explain how these probabilities would help a realtor to serve his or her clients better.Today, we live in a world where probabilities are quoted all the time from stormy weather to car safety and movie ratings. Select a probability that you rely on all the time and identify two probability concepts covered in this week's reading assignment. Identify whether your reliance on this probability can lead you to reevaluate reliance. 250-300 words in APA format.
Analyze a Fictitious Statistical Study
For this assignment follow the Instructions Below:InstructionsCarefully review the information provided below about the ...
Analyze a Fictitious Statistical Study
For this assignment follow the Instructions Below:InstructionsCarefully review the information provided below about the fictitious study, then address each assignment requirement. Scenario:You are the new director of institutional research at a small state university, and you have been assigned the task of analyzing information for the dean of the School of Education regarding the performance of their undergraduate students on the often-controversial Graduate Record Exam (GRE). Many educators believe the GRE is a poor evaluator of undergraduate performance as well as a poor predictor of graduate school performance. The dean is considering eliminating the GRE from graduate school admissions requirements.The dean has already collected data on four variables: 1) gender, 2) grade point average (GPA), 3) GRE score, and 4) graduate degree completion frequency. Your job is to develop a proposed analysis to assist the dean to make an informed decision regarding the future use of the GRE.Note:(For this assignment, you don’t have to produce any data. This assignment is asking for you to develop the analyses to answer the different questions (see below 1 – 4); relationships questions (What analyses can you use for relationship questions? What types of data (level of measurement)?), for effect questions (What analyses can you use to test for effects of independent variables on dependent variables?) Think on the levels of the independent variables. What types of data (nominal, ordinal, interval, ratio)?), and interaction effects between independent variables. You should also discuss the assumptions of each test. No data is required to be presented. This is similar to a question that you will encounter in your Doctoral Comprehensive Exams. You should provide information that shows your understanding of the different types of analyses, as well as possible outcomes of the analyses. In addition, you have to include in your discussion the possible conclusions based on the possible results; rejecting the null, and not rejecting the null. Using this information, develop the following foundational components for a proposed analysis:A relationship research question involving GPA and GRE scores; corresponding null and alternative hypotheses; the type of statistical analysis to be employed to determine significance; explanations of fictitious outcomes identifying both non-significant and significant relationships as related to both null and alternative hypotheses; and recommendations based on non-significant and significant findings.A relationship research question involving gender, GPA, and GRE scores; corresponding null and alternative hypotheses; the type of statistical analysis to be employed to determine significance; explanations of fictitious outcomes identifying both non-significant and significant relationships as related to both null and alternative hypotheses; and recommendations based on non-significant and significant findings.An effect research question involving gender and GRE scores; corresponding null and alternative hypotheses; the type of statistical analysis to be employed to determine significance; explanations of fictitious outcomes identifying both a non-significant and a significant effect as related to both null and alternative hypotheses; and recommendations based on non-significant and significant findings.An effect research question involving gender, GRE score, and degree completion frequency; corresponding null and alternative hypotheses; the type of statistical analysis to be employed to determine significance; explanations of fictitious outcomes identifying both a non-significant and a significant effect as related to both null and alternative hypotheses; and recommendations based on non-significant and significant findings.Finalize your report with a written analysis of your results and recommendations for the dean based on your findings.Support your assignment with at least five scholarly resources. In addition to these specified resources, other appropriate scholarly resources, including older articles, may be included.Length: 12 pages, not including title and reference pagesattached is a reporting stats in apa style
ISDS 7302 Louisiana State University Mod 5 Factors Affecting Graduation Rate Logistic Regression Model
Module 5 AssignmentIn this assignment you will build a logistic regression model to explain and to predict. First, you bui ...
ISDS 7302 Louisiana State University Mod 5 Factors Affecting Graduation Rate Logistic Regression Model
Module 5 AssignmentIn this assignment you will build a logistic regression model to explain and to predict. First, you build a model to assess if on-campus living increases the odds for of gradation within 5 years. Then you use the model to predict whether a student graduates. For background information read the article attached page 1-8. Pages 14-23 may help you to understand prediction analysis. When creating your report, you should:Explaining:Review the dependent variable GRAD-BUS5.Using all data run a model in JMP with GRAD-BUS5 as the outcome variable (Y) and OnCampus as independent variable (X). Interpret result with respect to the factor OnCampus. Evaluate each of the predictors to assess outliers, missing values, data type and necessary binning. Bin predictors as necessary. Using all data build a model that includes OnCampus and any other predictor that should be in the model.Interpret result with respect to the factor OnCampus again. Prediction:
To build a prediction model first create a validation column using a random split 70% training and 30% validation. Build a model to predict graduation using the training set.Obtain all the metrics for the validation set: Error, confusion matrix, ROC and Lift curve. Use the spreadsheet provided in the assignment to provide the confusion matrix for the validation set in the appendix. You can cut and past the information from JMP and then copy the confusion matrix into the appendix of the report.Report and interpret sensitivity, specificity, false positive and false negative rate, overall error rate.Add the ROC and Lift curve in the appendix and interpret them in your report.In your conclusion explain if OnCampus living improving 5-Year graduation rates. Provide strengths and weaknesses of the model for prediction.
Prepare the report using the following formatting guidelines:1 page, single-spaced report using 0.5 margins and two-column and portrait format (column width between 3.5'-3.6)1 page for the appendixInclude title of report, then FirstName, LastName, ISDS course #, Assignment #, date (00/00/00) in the header as in the sample assignment. 10 pt Font Calibri or Times New RomanJustified as sample reportCreate headings for each sectionList any references used (e.g. Module 1 Resources)Include a title for your report e.g. "Text Analysis of ...." and create headings for each sectionInclude supporting relevant figures from the analysis in your AppendixSubmit as pdf only with filename first name initial last name and assignment number (for instance HSchneider#1)
Be sure to review the Assignment Rubric and Assignment 5 Example attached below
Earn money selling
your Study Documents
