)Birth weight and gestational age. The Child Health and Development Studies considered pregnancies among women in the San Francisco East Bay area. Researchers took a random sample of 50 pregnancies...

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Extracted text: )Birth weight and gestational age. The Child Health and Development Studies considered pregnancies among women in the San Francisco East Bay area. Researchers took a random sample of 50 pregnancies and used statistical software to construct a linear regression model to predict a baby's birth weight in ounces using the gestation age (the number of days the mother was pregnant). A portion of the computer output and the scatter plot is shown below. Round all calculated results to four decimal places. Coefficients Estimate Std. Error t value Prt>lt) Intercept 33.7647 44.619 0.7567 0.4529 gestation 0.2976 0.1604 1.8552 0.0697 Residual standard error: 17.0294 on 48 degrees of freedom Multiple R-squared: 0.0669, Adjusted R-squared: 0.0475 240 260 280 300 320 Resu odr MacBook Air esc Fa F10 F11 F1 F2 F3 F4 # 2$ % & * 3 4 5 6 8 9 %3D del { } Q W E T Y U saouno ui juamyuIA


Extracted text: 1. Use the computer output to write the estimated regression equation for predicting birth weight from length of gestation. Birth weight =| gestation 2. Using the estimated regression equation, what is the predicted birth weight for a baby with a length of gestation of 266 days? 3. The recorded birth weight for a baby with a gestation of 266 days was 114 ounces. Complete the following sentence: The residual for this baby is . This means the birth weight for this baby is ? v the birth weight predicted by the regression model. 4. Complete the following sentence: % of the variation in ? can be explained by the linear relationship to ? Do the data provide evidence that gestational age is associated with birth weight? Conduct a t-test using the information given in the R output and the hypotheses Ho : B1 = 0 vs. HA: B1 # 0 3. Test statistic = 4. Degrees of freedom = 5. P-value = of a linear relationship between the explanatory and response variables. 6. Based on the results of this hypothesis test, there is ? 7. Calculate a 95% confidence interval for the slope, P. ( MacBook Air