Consider the following estimated regression for 220 home sales from a communityin 2019 (estimated standard errors in parentheses)Price = 119.2 + 0.485BDR + 23.4Bath + 0.156Hsize + 0.002Lsize + 0.09Age(8.94)(2.61)(0.011)(0.00048)(0.311)R2 = 0.72where Price denote the selling house price (measured in $1000s), BDR denote thenumber of bedrooms, Bath denote the number of bathrooms, Hsize denote thesize of the house (in square feet), Lsize denote the lot size (in square feet), andAge denote the age of the house (in years).(a) Suppose a homeowner adds a new bathroom to her house, which increasesthe size of the house by 100 square feet. What is the expected increase in thevalue of the house(b) Is the coefficient corresponding to BDR statistically different from zero?(c) Typically, five-bedroom houses sell for much more than two-bedroom houses.Is this consistent with your answer to (a) and with the regression moregenerally?(d) Lot size is measured in square feet. Do you think that another scale might bemore appropriate? Why or why not?(e) The F-statistic for omitting BDR and Age from the regression is F = 0.08. Arethe coefficients on BDR and Age statistically different from 0 at a 10%significance level?

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Answered: Consider the following estimated…

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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A regression line for predicting test scores has an r.m.s. error of 8 points. When this result is used to predict test scores, about 95% of the predictions will be right to within how many points.
The line of best fit through a set of data is y = – 27.749 + 1.474x According to this equation, what is the predicted value of the dependent variable when the independent variable has value 30? y = Round to 1 decimal place.
A patient is classified as having gestational diabetes if their average glucose level is above 140 milligrams per deciliter (mg/dl) one hour after a sugary drink is ingested. Rebecca's doctor is concerned that she may suffer from gestational diabetes. There is variation both in the actual glucose level and in the blood test that measures the level. Rebecca's measured glucose level one hour after ingesting the sugary drink varies according to the Normal distribution with μ=140+5 mg/dl and σ=5+1 mg/dl. Using the Central Limit Theorem, determine the probability of Rebecca being diagnosed with gestational diabetes if her glucose level is measured: Once? n=5+2 times n=5+4 times Comment on the relationship between the probabilities observed in (a), (b), and (c). Explain, using concepts from lecture why this occurs and what it means in context.
Internet speeds are a heavily advertised selling point of Internet Service Providers. You notice that although you are paying for a certain speed, the true speed seems to vary depending on where you are in your house. In order to estimate the true average speed you are getting in your house, you go to 13 random spots around your house and record the speed (in MBs per second) shown from a test at 'www.speedtest.net'. You see that the average is 5.61 MB/s with a standard deviation of 1.274 MB/s. You decide to create a 99% confidence interval for the average internet speed in your house. What is the margin of error for this estimate?
a residual is the distance between the data value in the line of best fit true or false?
I’m taking a statistics and probability class. Please get this correct because I want to learn. I have gotten wrong answers on here before
11. What is the standard error of the slope of the regression line (SEb)? Please put the answer in bold.
The regression analysis shows that r^2 = 0.4688. What would the correlation be? A. r = √0.4688 B. r = −√0.4688 C. Both A and B. D. None of the above.
Describe in detail about regression lines?
In a test comparing vinyl and latex laboratory gloves, it was found that 68% of the vinyl gloves leaked (allowing viruses to pass through) but only 6% of the latex gloves leaked. Using the first percentage as the reference value, express the change in two ways, (1) as an absolute difference in terms of percentage points and (2) as a relative difference in terms of a percentage.
** Based on the regression results, answer the following questions ** A sample of data is collected (from 1999 and 2000) concerning the compensation of the executives (compensation is measured in 1000’s of $’s) of a number of public companies along with other firm-specific data. The dependent variable is total compensation, CEOANN is a dummy variable =1 for an individual who is a CEO and =0 for individuals who are not CEO’s, EMPL is total employees, MKTVAL is the natural logarithm of the market value of the firm, EPSIN is earnings per share, YEAR is a dummy variable = 1 for the year 2000 and =0 for year 1999, and ASSETS is the natural logarithm of the total assets of the company. Based on the regression results, answer the following questions b) What is the estimated regression equation? c) What percentage of the variation in income in explained by the regressors? d) What is the standard error of the error term in the regression equation?
Suppose you wanted to test whether or not the payoff to an additional year of education was the same for men and women in the STEM majors. How would you set up your regression analysis in this case

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