d. Use the t-test to test the following hypotheses (a = 0.05): Họ: B1 = 0 H: B1 +0 Compute the value of the t-test statistic (Enter negative values as negative numbers). (to 3 decimals) What is the p-value? Use Table 2 from Appendix B. p-value is - Select your answer - What is your conclusion? We - Select your answer - e. Use the F-test to test the hypotheses in part (d) at a 0.05 level of significance. ]Họ. Complete the F table below using Excel. Calculate the Sum of Squares (to 1 decimal), the Mean Squares (to 1 decimal), and the F ratio (to 2 decimals) and the p-value (to 4 decimals). Source Degrees Sum of Mean of Variation of Freedom Squares Square F p-value Regression Error Total What is your conclusion, based on this F test? We- Select your answer - v Ho.

How many independent variables are involved in a multiple regression equation?     a. One     b. Zero     c. Two or more     d. At least three

An instructor asked a random sample of eight students to record their study times at the beginning of a course. She then made a table for total hours studied​ (x) over 2 weeks and test score​ (y) at the end of the 2 weeks. The table is given below. Complete parts​ (a) through​ (f).   x 10 13 10 18 6 15 16 21   y 93 79 81 74 85 81 85 80   a. Find the regression equation for the data points. b. Graph the regresson equation c. Describe the apparent relationship between the two variables. d. Identify the predictor and response variables. e. Identify outliers and potential influential observations. f.Predict the score for a student that studies for 17 hours.

Find the multiple regression equation with weight as the response variable and the dummy variable of sex and the variable of age as the explanatory variables.

Please solve what’s not filled in.

Data from 147 colleges from 1995 to 2005 (Lee,2008) were tested to predict the endowments (in billions) to a college from the average SAT score of students attending the college. The resulting regression equation was Y = -20.46 + 4.06 (X). This regression indicates that: a. for every one-point increase in SAT scores, a college can expect 4.06 billion more in endowments. b. most colleges have very high endowments. c. for every one-point increase in SAT scores, a college can expect 20.46 billion fewer in endowments. d. for every one-dollar increase in endowments, the college can expect a half-point increase in SAT scores.

Consider the following regression equation: y = -3.9 + 7.2x What does 7.2 depict in the regression equation above? a) The direction of the line.  b) The y-intercept.     c) The point where x = 0.  d) The y when x = 7.2.

Use B = -15.812961, and ₁ = 0.096300 to determine the equation of the estimated regression line. (Round your numerical answers to four decimal places.) ŷ =

Find the intercept (b0) for the regression equation for the following values. Round to 3 decimal places.  Intercept xi yi 33 180 25 170 50 200 65 172 57 160 27 165