A recent random sample of 7 college graduates who found a job reported their GPA and entry level salary (nearest thousand dollars). GPA 2.9 3.81 3.2 2.42 3.94 2.05 2.25 Salary 48 53 50 37 65 32 37 p-value    (Round to four decimal places) Construct a 95% confidence interval for the slope of the least squares line. (Round your answers to 2 decimal places.) Margin of error: Lower limit: Upper limit: Interpret: We are % confident that the slope of the least squares line is between and .

(d) At the 0.05 level of significance, is there evidence of a linear relationship between the number of cases delivered and the delivery time? (e) Construct a 95% confidence interval estimate of the population slope β1. Interpret the confidence interval estimate. (f) How useful do you think this regression model is for predicting the delivery times?

Energy drinks: A survey of college students reported that in a sample of 402 male college students, the average number of energy drinks consumed per month was 2.41 with a standard deviation of 3.18, and in a sample of 390 female college students, the average was 1.50 with a standard deviation of 4.77. Part: 0/2 Part 1 of 2 Construct a 80% confidence interval for the difference between men and women in the mean number of energy drinks consumed. Let μ, denote the mean number of energy drinks consumed by men. Use tables to find the critical value and round the answers to at least two decimal places. A 80% confidence interval for the difference between men and women in the mean number of energy drinks consumed is 0<44-₂2 <0. X S Part: 1/2 Part 2 of 2 Based on the confidence interval, is it reasonable to believe that the mean number of energy drinks consumed may be the same for both male and female college students? It (Choose one) reasonable to believe that the mean number of energy drinks…

A. True or False? A researcher compares the BMI of two populations of individuals from different socioeconomic backgrounds and finds that the proportion of individuals considered obese and from a poor background is .37 (n = 112), and the proportion of individuals considered obese and from an affluent background is .27 (n = 87); a 95% confidence interval for the risk difference for obesity among members of the poor population compared to the affluent population is (-0.03, 0.23). B. Why is it true or false?

What is the 90% confidence interval for the slope of square footage?

Which distribution do you use to find critical values for confidence intervals (n = 20) for a variancewhen the population standard deviation sigma is unknown?

Summary statistics for Chol: (a)  Calculate a 95% confidence interval (Chapter 17) for the mean Cholesterol of heart disease patients.  Use the t-distribution table and the Cholesterol summary statistics.Group by: HD HD n Mean Variance Std. dev. Std. err. Median Range Min Max Q1 Q3 No 164 242.64024 2857.606 53.45658 4.1742576 234.5 438 126 564 208.5 267.5 Yes 139 251.47482 2448.9468 49.486835 4.1974185 249 278 131 409 217 284