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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 the birth weight predicted by the regression model.

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 the birth weight predicted by the regression model.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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)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
Transcribed Image 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
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
Transcribed Image 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
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