Use this file to answer the following questions:
1. Comparing the p-value of _____ against a significance level of 0.05, we conclude that there is _____ relationship between days missed and distance from work.?
2. Considering the R-square, how do you describe the fit provided by the estimated regression equation?
Use this file to answer the following questions: 1. Comparing the p-value of _____ against a...
Use this file to answer the following questions: 1. what is the p-value to test whether there is a significant relationship between the variables? 2. Based on the estimated line, approximately what audit percentage would you predict at an average gross income of 35000? 3. what average gross income is associated with an audit percentage of 0.7? 4. what is the slope of the estimated regression line? 5. what is the coefficient of determination? A B с 1 1 District...
A sociologist was hired by a large city hospital to investigate the relationship between the number of unauthorized days that employees are absent per year and the distance (miles) between home and work for the employees. A sample of 6 employees was chosen, and the following data were collected. Distance to work (miles) 1 3 4 6 8 10 Number of days absent 8 5 8 7 6 3 a. Which variable is the independent variable? Which variable is the...
Given are five observations for two variables, 7 and y. 2 1 3 4 S M 3 7 5 11 14 The estimated regression equation is y = 0.2 +2.67 a. Compute the mean square arror using the following equation to 3 decimals), - MSE SSE - 2 b. Compute the standard error of the estimate using the following equation (to 3 decimals). 5 VMSE SSE N-2 c. Compute the estimated standard deviation by using the following equation (to 3...
Erika Diaz Your name Assignment 10 Correlation, Scatterplot, and Prediction (due 7/30/20 - 1/4/20)(28 pts) 1. A teacher hypothesizes that the more days of school student misses, the worse the student will do on a final exam (possible scores on the exam range from 0 to 20). She obtained a random sample of 12 students. The data are shown below. Student days missed Final exam score 1 3 16 2 2 17 3 5 13 4 8 7 5 4...
Question 15 (3 points) The owner of a small bookstore wants to analyze the relationship between the price of books and the number of pages of each book. The independent variable is the number of pages and the dependent variable is the price (in $s). After collecting the data, the owner generated the following regression analysis summary: SUMMARY OUTPUT Regression Stotistics 0.750271004 Multiple R 0.562906579 R Square Adjusted R Square 0.475487895 Standard Error 0980514871 Observations ANOVA 0.052048358 Regression 1 6.191972373...
Bardi Trucking Co., located in Cleveland, Ohio, makes deliveries in the Great Lakes region, the Southeast, and the Northeast. Jim Bardi, the president, is studying the relationship between the distance a shipment must travel and the length of time, in days, it takes the shipment to arrive at its destination. To investigate, Mr. Bardi selected a random sample of 20 shipments made last month. Shipping distance is the independent variable and shipping time is the dependent variable. The results are...
Use the Minitab output to answer the following questions. 1. What is the estimated value of B2? 2. What is the value of SST? 3. What is the value of MSR? 4. What is the value of S2? 5. What is the predicted value of Y when X1 = 7, X2 = 5, and X3 = 3? (round your answer to two decimal places) 6. What is the residual for the predicted value in question 5? The value of Y...
You are comparing the performance of your portfolio against your benchmark over the last 8 years. You have collected the following data: Year Portfolio Benchmark 1 12% 10% 2 6% 13% 3 10% 11% 4 11% 9% 5 16% 12% 6 14% 10% 7 8% 13% 8 18% 10% Assume that the risk-free rate over this period averaged 2%. Given this information, calculate the optimal levels of active risk and active return for your portfolio, along with the Sharpe ratio...
Question 8(Multiple Choice Worth 5 points) (02.05 MC) Regressions were performed on measurements, x and y, taken on 8 subjects. Regression 1 produced y = 57.1024 + 17.331x and had the residual plot: 30 25 20 15 10 . 5 0 0 2 4 6 8 10 12 14 16 -5 -10 -15 -20 Regression 2 produced vý = 0.158283 +0.98559 x and had the residual plot: 0.15 0.1 0.05 0 0 2 4 6 8 10 12 14 16...
PLEASE ANSWER ALL QUESTIONS ! 1. The following sample observations were randomly selected: X Y 10 4 5 6 6 5 4 7 3 7 What is the coefficient of correlation? Select one: a. 0.90 b. -0.46 c. -0.95 d. 0.82 2. The regression output from Excel indicates that the Significance F is 0.001. Does that mean there is a significant relationship? Select one: a. Yes, because it is small. b. Yes, because it is large. c. No, because it...