Answer question A and B using regression analysis. Do not use excel a. A real estate appraiser wants to use square footage of living area, assessed value, and number ofooms to predict the sale price of home.Identify the dependent and independent variables.Write the equation of regression model that can be used to make the prediction. b. Emma's Extreme Sports hires hang-gliding instructors and pays them a fee of $50 per class aswell as $20 per student in the class. The total cost Emma pays depends on the number of students ina class. Find the equation that expresses the total cost in terms of the number of students in a class.

The independent variables are defined as the variables that essentially influence other variables,…

Answered: b. Emma's Extreme Sports hires…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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An appliance store wants to conduct an experiment to determine the effect of advertising on sales revenue. The data table contains the advertising expenditure (in $100s) and sales revenue (in $100s) in the past 5 months. Below the data table, you will see the results of the regression analysis that was performed using Excel. You need to decide what the sales revenue will be with an advertising expenditure of $600, if possible. Would you be able to use the regression equation to predict the sales revenue? If so, what will be the sales revenue rounded to the nearest dollar? Support your answer. Advertising expenditure ($100s) Sales Revenue ($100s) 1 1 2 1 3 2 4 2 5 4 Coefficients Standard Error t Stat P-value Intercept -0.1 0.635085296 -0.157459164 0.88488398 X Variable 1 0.7 0.191485422 3.655630775 0.035352847
make a regression analysis about any healthcare issue
For many people, breakfast cereal is an important source of fiber in their diets. Cereals also contain potassium, a mineral shown to be associated with maintaining a healthy blood pressure. An analysis of the amount of fiber (in grams) and the potassium content (in milligrams in serving of 77 breakfast cereals produced the regression model Potassium 38+27Fiber. From this model you can estimate a cereals potassium content from the amount of fiber it contains. In this context, what does it mean to say that a cereal has a negative residual? Choose the porrect answer below. OA. The potassium content is actually higher than the model predicts for a cereal with that much fiber OB. The potassium content is actually lower than the model predicts for a cereal with that much fiber OC. The cereal does not have enough potassium OD. The cereal is an outlier in the model.
The accompanying data are the number of wins and the earned run averages (mean number of earned runs allowed per nine innings pitched) for eight baseball pitchers in a recent season. Find the equation of the regression line. Then construct a scatter plot of the data and draw the regression line. Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. If the x-value is not meaningful to predict the value of y, explain why not. (a) x = 5 wins (b) x = 10 wins (c) x = 19 wins (d) x = 15 wins E Click the icon to view the table of numbers of wins and earned run average. The equation of the regression line is y =x+ (Round to two decimal places as needed.) Construct a scatter plot of the data and draw the regression line. Choose the correct graph below. OA. OB. OC. OD. AERA 6- AERA AERA AERA 2- 2- 2- 0- 0- 12 18 24 12 18 24 12 18 24 12 18 24 Wins Wins Wins Wins (a) Predict the ERA for 5 wins, if it is meaningful. Select the correct choice below…
The accompanying data are the number of wins and the earned run averages (mean number of earned runs allowed per nine innings pitched) for eight baseball pitchers in a recent season. Find the equation of the regression line. Then construct a scatter plot of the data and draw the regression line. Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. If the x-value is not meaningful to predict the value of y, explain why not. (a) x = 5 wins (b) x = 10 wins (c) x = 19 wins (d) x = 15 wins Click the icon to view the table of numbers of wins and earned run average. The equation of the regression line is y = x+. (Round to two decimal places as needed.)
Q: The US Box Office Gross profit was recorded for the first eleven weekends after the release of a major motion picture. For the dataset posted below this question, construct a scatterplot with the weekend as the horizontal axis and US Gross (in millions of dollars) as the vertical axis. Conduct an analysis of the Residuals using the Data Analysis ToolPak Regression tool. Comment on whether the assumptions of linear regression have been met. (Please solve this in Excel) Weekend US Gross (millions $) 1 47.7 2 25 3 11.35 4 7 5 4.68 6 3.02 7 1.34 8 0.72 9 0.49 10 0.31 11 0.2
please assist, the question states to "click on the datafile logo to reference the data" but the data is listed already in the question. when clicking that link, it opens up the same information in excel so please do not reject because the data is there already.
The accompanying data are the number of wins and the earned run averages (mean number of earned runs allowed per nine innings pitched) for eight baseball pitchers in a recent season. Find the equation of the regression line. Then construct a scatter plot of the data and draw the regression line. Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. If the x-value is not meaningful to predict the value of y, explain why not. (a) x = 5 wins (c) x = 19 wins (d) x = 15 wins (b)x= 10 wins Click the icon to view the table of numbers of wins and earned run average. .. The equation of the regression line is y=x+ X+ (Round to two decimal places as needed.) Construct a scatter plot of the data and draw the regression line. Choose the correct graph below. OA. B. O C. O D. AERA AERA 6+ Q AERA 6+ 4- 4- 2- 2- 0- 6 12 18 24 0 12 18 24 6 12 18 24 Wins 12 18 24 Wins Wins Wins (a) Predict the ERA for 5 wins, if it is meaningful. Select the correct…
FAL The money raised and spent (both in millions of dollars) by all congressional campaigns for 8 recent 2-year periods are shown in the table. The equation of the regression line is y = 0.959x + 15.575. Find the coefficient of determination and interpret the result. Money raised, x Money spent, y 472.7 446.1 652.5 681.3 742.1 747.2 Find the coefficient of determination and interpret the result. 2 (Round to three decimal places as needed.) 785.7 779.4 1025.2 954.5 1207.4 1008.1 933.1 1165.1 769.1 725.3
A data set whose original x values ranged from 120 through 351 was used to generate a regression equation of ŷ=0.06x + 14.2. Use the regression equation to predict the value of y when x=110.
Need help If my outer regression equation is Weight= -191.891 + 5.06 (Height) How do I find the estimated weight LBS for an individual with height 76 inches?
1. Develop a simple linear regression equation for starting salaries using an independent variable that has the closest relationship with the salaries. Explain how you chose this variable.

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b. Emma's Extreme Sports hires hang-gliding instructors and pays them a fee of $50 per class as well as $20 per student in the class. The total cost Emma pays depends on the number of students in a class. Find the equation that expresses the total cost in terms of the number of students in a class.