604020201,400 1,000 2,200 2,600 3,000 3,400 3,800Size (II') Janice is considering buying a new home. She wantsto estimate the monthly utilities (heating and airconditioning). She figures that the utilities aredependent on the size (square footage) of the home.She collects data on 10 homes in the neighborhoodand finds a linear model to give the relationshipbetween the size of the home and the monthlyutilities. The equation of the line is ý = -8.1 + 1.91x,where ŷ is the mean monthly cost in utilities and x isBased on the residual plot, is the linear modelappropriate?O No, there is no clear pattern in the residual plot.O Yes, there is no clear pattern in the residual plot.O No, there are no homes between 2,300 and 2,900square feet.O Yes, half of the residuals are positive and half arenegative.the square footage of the home. The residual plot isshown.604020

The difference between the observed and predicted value is termed as residual. If the residuals in…

Based on the residual plot, is the linear model appropriate? O No, there is no clear pattern in the residual plot. O Yes, there is no clear pattern in the residual plot. O No, there are no homes between 2,300 and 2,900 square feet. O Yes, half of the residuals are positive and half are negative.

Based on the residual plot, is the linear model appropriate? O No, there is no clear pattern in the residual plot. O Yes, there is no clear pattern in the residual plot. O No, there are no homes between 2,300 and 2,900 square feet. O Yes, half of the residuals are positive and half are negative.

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 amount of time adults spend watching television is closely monitored by firms because this helps to determine advertising pricing for commercials. Complete parts (a) through (d). C (a) Do you think the variable "weekly time spent watching television" would be normally distributed? If not, what shape would you expect the variable to have? A. The variable "weekly time spent watching television" is likely skewed right, not normally distributed. OB. The variable "weekly time spent watching television" is likely symmetric, but not normally distributed. O C. The variable "weekly time spent watching television" is likely skewed left, not normally distributed. O D. The variable "weekly time spent watching television" is likely normally distributed. O E. The variable "weekly time spent watching television" likely uniform, not normally distributed. (b) According to a certain survey, adults spend 2.45 hours per day watching television on a weekday. Assume that the standard deviation for "time…
Two variables have a positive linear correlation. Is the slope of the regression line for the variables positive or negative? A. The slope is negative. As the independent variable increases the dependent variable also tends to increase. B. The slope is negative. As the independent variable increases the dependent variable tends to decrease. C. The slope is positive. As the independent variable increases the dependent variable also tends to increase. D. The slope is positive. As the independent variable increases the dependent variable tends to decrease.
KidsFeet Regression Line y-Intercept The KidsFeet dataframe contains data collected on 39 fourth grade students in Ann Arbor, MI, in October 1997. Two of the measurements taken on the children were the length in centimeters, (length), and width in centimeters, (width), of their longest foot. This data could be used to answer the following Research Question: How is the width of a fourth-grade student's foot related to the length? Which of the following is the y-intercept of the regression line? ## ## Simple Linear Regression## ## Correlation coefficient r = 0.6411 ## ## Equation of Regression Line:## ## length = 9.817 + 1.658 * width ## ## Residual Standard Error: s = 1.025 ## R^2 (unadjusted): R^2 = 0.411 ( ) 1.0248 ( ) 1.6576 ( ) 22.8153 ( ) 0.411 ( ) 9.8172 ( )0.6411
Which is correct?
z score z score for each for each value of value of Zzły х х -0.278 0.536 -0.149 -0.089 0.696 -0.062 -1.253 -1 -1.652 2.070 -0.714 -0.928 0.663 2.461 1.473 1.671 0.536 0.371 0.199 -0.089 4 -0.278 0.025 Σ: ỹ = 3.857 S, = 3.078 = 5.207 T= 4.286 s, = 3.200
Use the Financial database from “Excel Databases.xls” on Blackboard. Use Total Revenues, Total Assets, Return on Equity, Earnings Per Share, Average Yield, and Dividends Per Share to predict the average P/E ratio for a company. Use Excel to develop the multiple linear regression model. Assume a 5% level of significance. Which independent variable is the strongest predictor of the average P/E ratio of a company? A. Total Revenues B. Average Yield C. Earnings Per Share D.Return on Equity E. Total Assets F.Dividends Per Share Company Type Total Revenues Total Assets Return on Equity Earnings per Share Average Yield Dividends per Share Average P/E Ratio AFLAC 6 7251 29454 17.1 2.08 0.9 0.22 11.5 Albertson's 4 14690 5219 21.4 2.08 1.6 0.63 19 Allstate 6 20106 80918 20.1 3.56 1 0.36 10.6 Amerada Hess 7 8340 7935 0.2 0.08 1.1 0.6 698.3 American General 6 3362 80620 7.1 2.19 3 1.4 21.2 American Stores 4 19139 8536 12.2 1.01 1.4 0.34 23.5 Amoco 7 36287…
23. If SP = -16.32 and SSX = 40.00 for a set of data points, then what is the value of the slope for the best-fitting linear equation? positive -0.41 Need SSY to compute -2.45
a. Estimate the regression line and also write the prediction equation. y = 83.4578-5.8795 x y = 5.8795 + 83.4578 x ŷ ŷ= = -5.8795 + 83.4578 x = 83.4578 + 5.8795 x
6 Given the following multiple linear regression where shell (shell gas stock) price. shell = 15 - 0.5 * (interest rate) + 0.4 * (oil price) + 0.003 * (S&P500). Estimate the price of shell when the interest rate is 22, oil price is $95, and S&P500 = 4000 A.64 B. 38 C. 15 D. 12
2. The scatter plot and curve of best fit show the relationship between the diameter of rain-collection barrels and the volume of water collected. Is this relation linear or non-linear? Justify your answer. VA Diameter Volume