5.73 The paper “Effects of Canine Parvovirus (CPV) on Gray Wolves in Minnesota" (Journal of Wildlife Management [1995]: 565–570) summarized a regression of y = percentage of pups in a capture on x = percentage of CPV prevalence among adults and pups. The equa- tion of the least-squares line, based on n = 10 observa- tions, was ŷ = 62.9476 - 0.54975x, with r² = .57. a. One observation was (25, 70). What is the corresponding residual? b. What is the value of the sample correlation coefficient? = c. Suppose that SSTo 2520.0 (this value was not 52x given in the paper). What is the value of se?

A researcher wishes To determine the relationship between the number of Cows(in thousands) in counties in southwestern Pennsylvania and the milk production ( in millions of pounds.) After computing the least squares regression line, it is determined that r^2=0.9972. Which of the following is the correct interpretation of this value? Answer Choices: A.) none of the other answers is a correct interpretation  B.) About 99.72% of the changes in the number of cows are explained by changes in milk production  C.) About 99.72% of the change in milk production are explained by changes in the number of cows.

sample of n=25 college students was given problem solving task at noon one day and again at noon the following day. THe students were not permitted any sleep between the two tests. for each student, the differences  between the first and second score was recoreded. for this ksample, the students averaged MD=4.7 points better on the first test with a variance of s2=64 for the difference scores. Do the data indicate significant change in problem solving ability? Use a two tailed test with .05. Compute an estimated Cohen's d to measure the size of the effect.

If a set of data is normally distributed with a mean of 20 and a variance of 16, a z-score of -3.8 would convert into what raw score?

A researcher wanted to examine the effect of a new math study skills program on second graders. Twenty-five students took the new study skills program for six weeks and then took a standardized math exam, which is known to have a population mean score of µ = 80 (this is the mean for the entire population of students who have not taken the new math study skills program). The mean and variance on the exam for the 25 students (who took the new study skills program) are reported below. The mean of the n = 25 students was M = 85 with a sample variance (s2) of 100. Test to see whether the students who took the new study skills program have significantly different test scores than the national average of µ = 80. Use α = .05, 2-tailed. Step 3. Calculate and report the test statistic below. Step 4. Make a decision regarding H0 below (reject H0/Fail to reject H0).

Last school year, the student body of a local university consisted of 35% freshmen, 25% sophomores, 24% juniors, and 16% seniors. A sample of 300 students taken from this year's student body was taken to determine if there had been a significant change in % of students for each classification for this year as compared to last year. This analysis is an example of a Regression O Goodness of Fit Analysis of Variance Test of Independence

Interpret the assocfation between agea nd math scores in the univariate regression model, and is the association between them significant? How much variance in math score is explained by age in the univariate regression model?

A researcher wanted to examine the effect of a new math study skills program on second graders. Twenty-five students took the new study skills program for six weeks and then took a standardized math exam, which is known to have a population mean score of u = 80 (this is the mean for the entire population of students who have not taken the new math study skills program). The mean and variance on the exam for the 25 students (who took the new study skills program) are reported below. The mean of the n = 25 students was M = 85 with a sample variance (s²) of 100. Test to see whether the students who took the new study skills program have significantly different test scores than the national average of μ = 80. Use a = .05, 2-tailed. Step 1. State the null and alternative hypotheses below. What type of test should be run on the data? (circle one below) a. one sample z b. one sample t c. independent samples t d. related samples t Step 2. Locate the critical region and report the critical…

An article in Knee Surgery Sports Traumatology, Arthroscopy, "Effect of provider volume on resource utilization for surgical procedures," (2005, Vol. 13, pp. 273-279) showed a mean time of 116 minutes and a standard deviation of 18 minutes for ACL reconstruction surgery for high-volume hospitals (with more than 300 such surgeries per year). If a high-volume hospital needs to schedule 10 surgeries, what is the mean and variance of the total time to complete these surgeries? Assume the times of the surgeries are independent and normally distributed. Mean = i Variance = i minutes minutes²

Fifty students take two midterm exams. On the first exam, the mean score is 65.0 and the standard deviation is 7.00. On the second exam, the mean score is 55.0 with a standard deviation of 10.00. The correlation coefficient of the two score is 0.70. Obtain the least squares regression line using the second exam score to predict the first exam score.