Statistics for the Behavioral Sciences, Loose-leaf Version
Statistics for the Behavioral Sciences, Loose-leaf Version
10th Edition
ISBN: 9781305862807
Author: GRAVETTER
Publisher: CENGAGE L
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Chapter 16, Problem 23P

For the following data, find the multiple-regressionequation for predicting Y from X and X2

    X1 X2 Y
    1 3 1
    2 4 2
    3 5 6
    6 9 8
    4 8 3
    2 7 4
    M = 3 M = 6 M = 4
    SSXI= 16 SSX2=28 SSY= 34

SPX1X2= 18

SPX1Y= 19

SPX2Y

=21

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Q2) Find the regression line for the following data, then predict the value of y when x is 5: X 0 2 4 6 8 y 2 4 3 8 10
The table below gives the age and bone density for 5 women. Use the equation of the regression line, y= b0 + b1x, for predicting a women's bone density based on her age. The correlation coefficient may or may not be statically significant for the data given. Remember it wouldn't be appropiate to use regression line to make a prediction if the correlation coefficient isn;t statically significant. (y has a "hat" on the top) age 39 51 54 56 67 bone density 355 349 347 315 313 Find the estimated slope. Rund your answer to three decimal places. Find the estimated y-intercept. Round your answer to three decimal places. Determine the value of the dependent variable y at x+ 0                           (y has a "hat" onthe top) Find the estimated value of y when x = 51. Round your answer to three decimal places.  Substitute the values you  found in steps 1 and 2 into the equation for the regression line to find the estimated linear model. According to this model, if the valueof the…
A sales manager collected the following data on  annual sales and  years of experience. The estimated regression equation for these data is .  y=80 + 4x The datafile logo.     Salesperson   Years ofExperience   Annual Sales($1000s) 1   1   80 2   3   97 3   4   92 4   4   102 5   6   103 6   8   111 7   10   119 8   10   123 9   11   117 10   13   136   a. Compute    SSE   SST   SSR     b. Compute the coefficient of determination r^2                        %
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