Given the estimated model above, for every additional cigarette smoked while pregnant, the associated change in birth weight is

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For questions 15-20, use the following regression output obtained by regressing
birth weight (the y variable called birthwt) on the number of cigarettes smoked
by women while pregnant (the x variable called cigs):
SUMMARY OUTPUT
Regression Stotistics
Multiple R
0.151
R Square
0.023
Adjusted R Square
0.022
Standard Error
20.129
Observations
1,388
Coefficients Standard Error tStat P-value Lower 95% Upper 95%
Intercept (bo)
119.77
0.57
209.27
0.003
118.65
120.89
cigs (b;)
0.09 -5.68
-0.34
-0.51
0.001
-0.69
Given the estimated model above, for every additional cigarette smoked while
pregnant, the associated change in birth weight is
O 119.77 ounces
0.57 ounces
-5.68 ounces
O -0.51 ounces
Transcribed Image Text:For questions 15-20, use the following regression output obtained by regressing birth weight (the y variable called birthwt) on the number of cigarettes smoked by women while pregnant (the x variable called cigs): SUMMARY OUTPUT Regression Stotistics Multiple R 0.151 R Square 0.023 Adjusted R Square 0.022 Standard Error 20.129 Observations 1,388 Coefficients Standard Error tStat P-value Lower 95% Upper 95% Intercept (bo) 119.77 0.57 209.27 0.003 118.65 120.89 cigs (b;) 0.09 -5.68 -0.34 -0.51 0.001 -0.69 Given the estimated model above, for every additional cigarette smoked while pregnant, the associated change in birth weight is O 119.77 ounces 0.57 ounces -5.68 ounces O -0.51 ounces
For questions 15-20, use the following regression output obtained by regressing
birth weight (the y variable called birthwt) on the number of cigarettes smoked
by women while pregnant (the x variable called cigs):
SUMMARY OUTPUT
Regression Statistics
Multiple R
0.151
R Square
0.023
Adjusted R Square
0.022
Standard Error
20.129
Observations
1,388
Coefficients Standard Error
t Stat
P-value
Lower 95%
Upper 95%
Intercept (bo)
119.77
0.57
209.27
0.003
118.65
120.89
cigs (b;)
-0.51
0.09
-5.68
0.001
-0.69
-0.34
Using the above regression output, if the SSR (sum of squares due to the
regression) is 13,060.42, what is the SST (total sum of squares)?
567,844.35
367,944.25
537,245.22
O 25,256.32
Transcribed Image Text:For questions 15-20, use the following regression output obtained by regressing birth weight (the y variable called birthwt) on the number of cigarettes smoked by women while pregnant (the x variable called cigs): SUMMARY OUTPUT Regression Statistics Multiple R 0.151 R Square 0.023 Adjusted R Square 0.022 Standard Error 20.129 Observations 1,388 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept (bo) 119.77 0.57 209.27 0.003 118.65 120.89 cigs (b;) -0.51 0.09 -5.68 0.001 -0.69 -0.34 Using the above regression output, if the SSR (sum of squares due to the regression) is 13,060.42, what is the SST (total sum of squares)? 567,844.35 367,944.25 537,245.22 O 25,256.32
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