The regression output is provided below with corresponding standard errors in parentheses kids = -7.731 +0.19y74 -0.09y76-0.06y78 -0.08y80 - 0.42y82 -0.65y84 -0.135educ + 0.277age - 0.0055age?...


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The regression output is provided below with corresponding standard errors in parentheses<br>kids = -7.731 +0.19y74 -0.09y76-0.06y78 -0.08y80 - 0.42y82 -0.65y84 -0.135educ + 0.277age - 0.0055age? +0.88black<br>(0.175)<br>(3.101)<br>(0.171)<br>(0.171)<br>(0.182)<br>(0.188)<br>(0.173)<br>(0.20)<br>(0.111)<br>(0.001)<br>(0.177)<br>R = 0.114<br>Given the below critical values fill in the blanks Round to two decimals if necessary<br>Significance level Critical value<br>1%<br>2.58<br>1.96<br>10%<br>1.64<br>The coefficient of y74 is<br>This implies, holding education, age and race constant, 100 women in 1974 are predicted to have<br>children compared to 100 women in 1972. (Hint: For the second blank of this sentence make a choice between<br>

Extracted text: The regression output is provided below with corresponding standard errors in parentheses kids = -7.731 +0.19y74 -0.09y76-0.06y78 -0.08y80 - 0.42y82 -0.65y84 -0.135educ + 0.277age - 0.0055age? +0.88black (0.175) (3.101) (0.171) (0.171) (0.182) (0.188) (0.173) (0.20) (0.111) (0.001) (0.177) R = 0.114 Given the below critical values fill in the blanks Round to two decimals if necessary Significance level Critical value 1% 2.58 1.96 10% 1.64 The coefficient of y74 is This implies, holding education, age and race constant, 100 women in 1974 are predicted to have children compared to 100 women in 1972. (Hint: For the second blank of this sentence make a choice between "more" and "fewer") tvalue of y74 is equal to So, the difference between number of children born to a woman in 1974 compared to a woman having the same characteristics in the base year statistically significant at 10% significance level.

Jun 09, 2022
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