Intro Stats, Books a la Carte Edition (5th Edition)
5th Edition
ISBN: 9780134210285
Author: Richard D. De Veaux, Paul Velleman, David E. Bock
Publisher: PEARSON
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Question
Chapter 20, Problem 14E
a.
To determine
Write the regression model.
b.
To determine
Write the interpretation of the coefficient of shots in this model and also write the difference from the interpretation in Exercise 2.
c.
To determine
Find and interpret the 95% confidence interval for the coefficient of TOI/G.
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Lillian conducted a small survey of her friends and family. She asked them how many hours per week they spend reading digital documents (newspapers, blogs, books, etc.), and their age. She created the scatter plot below with the results she obtained.
Draw the regression line that best represents this scatter plot and determine its equation.
Using your dataset, run a regression of Y=GPA and X=# Friends.(do not need your actual data, just the regression results)a) State what this regression is attempting to analyze. “By running this regression, we areattempting to show.....”b) Write out the regression equation and describe what it shows (if Friends increase by 1, then. . . ).c) Find your hypothesized GPA when the # friends equals 17.d) Is the slope of # of Friends significantly different from zero?Include Ho, Ha, decision rule, t statistic from table, tc, decision, and conclusion.e) Is the r-squared of # of Friends significantly different from zero?Include Ho, Ha, decision rule, F statistic from table, Fc, decision, and conclusion.
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Chapter 20 Solutions
Intro Stats, Books a la Carte Edition (5th Edition)
Ch. 20.5 - Researchers in Food Science studied how big...Ch. 20.5 - Prob. 2JCCh. 20.5 - Prob. 3JCCh. 20.5 - Prob. 4JCCh. 20.5 - Prob. 5JCCh. 20.5 - Prob. 6JCCh. 20 - Graduate earnings Does attending college pay back...Ch. 20 - Shoot to score 2016 A college hockey coach...Ch. 20 - Prob. 3ECh. 20 - Shoot to score II Discuss the assumptions and...
Ch. 20 - Prob. 5ECh. 20 - Shoot to score, another one Using the regression...Ch. 20 - Prob. 7ECh. 20 - Shoot to score, hat trick Returning to the results...Ch. 20 - Prob. 9ECh. 20 - Shoot to score, number five What can the hockey...Ch. 20 - Prob. 11ECh. 20 - Prob. 12ECh. 20 - Prob. 13ECh. 20 - Prob. 14ECh. 20 - Prob. 15ECh. 20 - Shoot to score, double overtime Continuing from...Ch. 20 - Prob. 17ECh. 20 - Prob. 18ECh. 20 - Prob. 19ECh. 20 - Prob. 20ECh. 20 - Prob. 21ECh. 20 - Drug use 2013 The 2013 World Drug Report...Ch. 20 - Prob. 23ECh. 20 - Saratoga house prices How does the price of a...Ch. 20 - Prob. 25ECh. 20 - Prob. 26ECh. 20 - Prob. 27ECh. 20 - Prob. 28ECh. 20 - Prob. 29ECh. 20 - More cholesterol Look again at Exercise 28s...Ch. 20 - Prob. 31ECh. 20 - Cholesterol, finis Based on the regression output...Ch. 20 - Prob. 33ECh. 20 - Prob. 34ECh. 20 - Prob. 35ECh. 20 - Prob. 36ECh. 20 - Prob. 37ECh. 20 - Prob. 38ECh. 20 - Prob. 39ECh. 20 - Fuel economy A consumer organization has reported...Ch. 20 - Climate change 2016 Data collected from around the...Ch. 20 - Prob. 42ECh. 20 - Prob. 43ECh. 20 - Fuel economy, part III Consider again the data in...Ch. 20 - Climate change again Consider once again the CO2...Ch. 20 - Cereals A healthy cereal should be low in both...Ch. 20 - Brain size Does your IQ depend on the size of your...Ch. 20 - Prob. 48ECh. 20 - Prob. 49ECh. 20 - Prob. 50ECh. 20 - Ozone and population The Environmental Protection...Ch. 20 - Prob. 52ECh. 20 - Prob. 53ECh. 20 - More sales and profits Consider again the...Ch. 20 - Prob. 55ECh. 20 - Crawling Researchers at the University of Denver...Ch. 20 - Midterms The data set below shows midterm and...Ch. 20 - Prob. 58ECh. 20 - Prob. 59ECh. 20 - All the efficiency money can buy 2011 A sample of...Ch. 20 - Education and mortality The following software...Ch. 20 - Property assessments The following software output...Ch. 20 - Prob. 63ECh. 20 - Prob. 64E
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- What is interpolation when using a linear model?arrow_forwardLife Expectancy The following table shows the average life expectancy, in years, of a child born in the given year42 Life expectancy 2005 77.6 2007 78.1 2009 78.5 2011 78.7 2013 78.8 a. Find the equation of the regression line, and explain the meaning of its slope. b. Plot the data points and the regression line. c. Explain in practical terms the meaning of the slope of the regression line. d. Based on the trend of the regression line, what do you predict as the life expectancy of a child born in 2019? e. Based on the trend of the regression line, what do you predict as the life expectancy of a child born in 1580?2300arrow_forwardNoise and Intelligibility Audiologists study the intelligibility of spoken sentences under different noise levels. Intelligibility, the MRT score, is measured as the percent of a spoken sentence that the listener can decipher at a cesl4ain noise level in decibels (dB). The table shows the results of one such test. (a) Make a scatter plot of the data. (b) Find and graph the regression line. (c) Find the correlation coefficient. Is a linear model appropriate? (d) Use the linear model in put (b) to estimate the intelligibility of a sentence at a 94-dB noise level.arrow_forward
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- Please help!arrow_forwardYou generate a scatter plot using Minitab. You then have Minitab plot the regression line and report the equation and the r2 value. The regression equation is reported as y=43.41x+77.98 and the r2=0.2025.What is the correlation coefficient for this data set? r =arrow_forwardUse the Stata output below. The data comes from students in an undergraduate economics course. The variables used and their descriptions are below. The regression of interest is: final =B₁ + B₁atndrte + ß₂hwrte + ¸priGPA+BACT Variable final atndrte hwrte priGPA ACT Description final exam score percent classes attended percent homework turned in cumulative GPA prior to term ACT score .reg final atndrte hwrte priGPA ACT Source Model Residual final SS Total 15024.6543 atndrte hwrte priGPA ACT _cons 3094.70776 11929.9465 df 673 Coef. Std. Err. Mean .0138725 .0183476 .010863 1.906347 -3750236 .3990516 .0535332 9.225908 1.46863 25.88872 82.12166 87.90801 2.59182 4 773.676939 669 17.832506 22.47774 MS 22.324895 Number of obs F(4, 669) Prob > F R-squared Adj R-squared Root MSE t P>|t| Calculate the test statistic (t-statistic) for the hypothesis that B3 = 0. 674 [95% Conf. Interval]arrow_forward
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