The large national bank charges local companies for using theirservices. A bank official reported the results of a regression analysisdesigned to predict the bank's charges (Y), measured in RM permonth for services rendered to local companies. One independentvariable used to predict service charge to a company is the thecompany's sales revenue (X), measured in millions of RM. Data for 21companies who use the bank's services were used to fit the model.The results of the simple linear regression are provided below. Basedon results below, interpret the p-value for testing whether B exceeds0. *ŷ = -2,700 + 20XSxy = 65,two – tailed p – value = 0.034 (for testing B1There is sufficient evidence (at the alpha = 0.05) to conclude that sales revenue(X) is a useful linear predictor of service charge (Y).There is insufficient evidence (at the alpha = 0.10) to conclude that salesrevenue (X) is a useful linear predictor of service charge (Y).O Sales revenue (X) is a poor predictor of service charge (Y).For every RM1 million increase in sales revenue, we expect a service charge toincrease RM0.034.

It is given that X : sales revenue, Y = service charge, P-value(two-tailed) = 0.034

Answered: The results of the simple linear…

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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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 E Click the icon to view the table of numbers of wins and earned run average. (b) x = 10 wins (c) x = 19 wins (d) x= 15 wins ..... The equation of the regression line is y = x+O (Round to two decimal places as needed.) Wins and ERA Earned run Wins, x average, y 20 2.71 18 3.19 17 2.69 16 3.68 14 3.94 12 4.25 11 3.86 9 5.18 Print Done
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A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y=ax+b a=-1.204 b=27.142 r2=0.910116 r=-0.954 Use this to predict the number of situps a person who watches 7 hour(s) of TV can do, and please round your answer to a whole number. Question Help: Message instructor Submit Question 用 hp -> DII 23 2$ 3. 4 6. 7. 8 y k f
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The results of the simple linear regression are provided below. Based on results below, interpret the p-value for testing whether B exceeds 0. * ŷ = -2,700 + 20x Sxy = 65, two – tailed p – value = 0.034 (for testing A %3D