Fundamentals of Biostatistics
Fundamentals of Biostatistics
8th Edition
ISBN: 9781305268920
Author: Bernard Rosner
Publisher: Cengage Learning
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Chapter 11, Problem 4P
To determine

Describe about the meaning of coefficient of determination.

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PARTS 3c-Question 3 only! For a sample of over 160 college students, the following variables were measured: Y = height X1 = mother’s height X2 = father’s height X3 = 1 if male, 0 if female The goal is to predict student’s height using the mother’s and father’s heights, and sex, where sex is categorized using the variable “male” = 1 if male, 0 if female. Question 1 The regression model is  __________________________________________ Regress command results (remember that we now have n = 165 cases; we removed one outlier):       Source |       SS       df       MS              Number of obs =     165 -------------+------------------------------           F(  3,   161) =  104.38        Model |  1679.17741     3  559.725803           Prob > F      =  0.0000     Residual |   863.31653   161  5.36221447           R-squared     =  0.6604 -------------+------------------------------                        Adj R-squared =  0.6541        Total |     2542.49394   164  15.5030118…
Please help me understand this problem more in depth. A researcher is investigating possible explanations for deaths in traffic accidents. He examined data from 2000 for each of the 52 cities randomly selected in the US. The data included information on the following variables: Deaths: The number of deaths in traffic accidents per city Income: The median income per city As part of his study, he ran the following simple linear regression model attached in photo.  Question: Based on the above results, the researcher tested the hypotheses: Ho: B1=0 versus B1 not equal to 0, versus using T test. What do we know about the test statistic of the test? Based on the approximate p-value, what's the conclusion?
Suppose that you perform a hypothesis test for the slope of the population regression line with the null hypothesis H0: ß1 = 0 and the alternative hypothesis Ha: ß1 ? 0. If you reject the null hypothesis, what can you say about the utility of the regression equation for making predictions?
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