please answer question 7 (confidence interval).
Q7:
df = 48
Significance level, α = 1-0.90 = 0.10
Critical value, t_c = T.INV.2T(0.10, 48) = 1.6772
90% Confidence interval for slope:
Lower limit = b1 - tc*se(b1) = 0.4223 - 1.6772*0.1644 = 0.1466
Upper limit = b1 + tc*se(b1) = 0.4223 + 1.6772*0.1644 = 0.6980
please answer question 7 (confidence interval). (14 points) Birth weight and gestational age. The Child Health...
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...
omsidered the varinhles soke and parity In the problems e at a time, in modeling birth weights of babies. A moare realistic approch to modeling infint weights consider all possibly related variables at once. Other variables of interest include length of pregnacy in days (gextation, mother's age in years (age), mther's height in inches (height), and rther's pregnancy weight in pounds (weight). Below are three oservations frarn this data set hw gestation parlty height welght 10m smoke 1 120 0...
A researcher was interested in predicting the birth weight of babies in a particular population. Data was collected from 42 babies and their parents at the time of birth. The following variables were included in the data collection: birth weight (lbs) (Birthweight), gestational age of the baby at birth (weeks) (Gestation), mother's height (mheight) and weight (before pregnancy) (mppwt), mother's age at time of birth (motherage), and mother's smoking status (smokes/does not smoke) (smoker). The researcher is trying to decide...
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