The heights (y) and lengths of forearms (x) were measured in inches for a sample of men. The following summary statistics were obtained: x= 10.1      Sx=0.8      y= 70.1        Sy=2.5        r=0.81 a. Compute the least- squares regresson line for predicting height from forearm length. b. Joe's forearm is 1 inch longer than Sam's. How much taller than Sam do you predict Joe to be? c. Predict the height of a man whose forearm is 9.5 inches long.

A two-way ANOVA experiment with interaction was conducted. Factor A had three levels (columns), factor B had five levels (rows), and six observations were obtained for each combination. Assume normality in the underlying populations. The results include the following sum of squares terms: SST=1542 SSA= 1042 SSB = 358 SSAB = 39 a. Construct an ANOVA table. (Round "MS" to 4 decimal places and "F" to 3 decimal places.) ANOVA Source of Variation Rows Columns Interaction Error Total SS 0 df Answer is not complete. 0 MS F p- value 0.000 0.000 0.002

It has been estimated that the 1991 G-car obtains a mean of 35 miles per gallon on the highway, and the company that manufactures the car claims that it exceeds the estimate in highway driving. To support its assertion, the company randomly selects 49 1991 G-cars and records the mileage obtained for each car over a driving course similar to that used to obtain the estimate. The following data resulted: x = 36.5 miles per gallon, s = 7 miles per gallon. %3D a. Find the observed significance level for testing Ho: u= 35 vs. Ha: u> 35. %3D b. For what value of significance level a, you will reject the null hypothesis.

Justin wants to know whether a commonly prescribed drug does improve the attention span of students with attention deficit disorder (ADD). He knows that the mean attention span for students with ADD who are not taking the drug is 2.3 minutes long. His sample of 12 students taking the drug yielded a mean of 4.6 minutes. Justin can find no information regarding σx , so he calculated s2x =1.96. a. Identify the independent and dependent variables.  b. In a sentence, state the null hypothesis being tested.  c. Using symbols, state the null and alternative hypotheses.  d. Determine the critical region using a one-tailed test with alpha = .05. e .Conduct the hypothesis test (Do the math and compare the t-critical and t-obtained values). f. State your conclusions in terms of H0 (Should you reject the H0 or fail to reject/accept the H0). g. Based on your analysis, is there a relationship between the drug and attention span?

Consider the following data: 7 8 P(X = x) 0.2 0.2 0.2 0.2 0.2 %3D Step 2 of 5: Find the variance. Round your answer to one decimal place. 5.

A. 2.1

12.21 In the study of Exercise 12.9, 25 observations were used to calculate the least squares estimates. The regression sum of squares and error sum of squares were found to be as follows: SSR 79.2 and SSE = 45.9 = a. Find and interpret the coefficient of determination. b. Find the adjusted coefficient of determination. c. Find and interpret the coefficient of multiple correlation.

Suppose the average height of all humans is normally distributed with a mean of 72 inches and a variance of 18 inches. Use this information to answer the following three questions. 1. Determine P(75<x<84). 2. Determine P(x>80). 3. Determine P(x < 65).

Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between the age of a young adult (18 to 35 years old) and the type of movie preferred. A random sample of 93 adults revealed the following data. Test whether age and type of movie preferred are independent at the 0.05 level. Person's Age Movie 18-23 yr 24-29 yr 30-35 yr Row Total Drama 9 13 12 34 Science Fiction 9 8 13 30 Comedy 10 8 11 29 Column Total 28 29 36 93 n USE SALT (a) What is the level of significance? State the null and alternate hypotheses. O Ho: Age and movie preference are independent. H: Age and movie preference are not independent. O Ho: Age and movie preference are independent. H,: Age and movie preference are independent. O Ho: Age and movie preference are not independent. H,: Age and movie preference are not independent. O Ho: Age and movie preference are not independent. H: Age and movie preference are independent. (b) Find the value of the chi-square statistic for the sample. (Round the…