A movie's box office gross is used to predict DVD revenue. For a sample of 22 movies, an analysis of variance showed that b1 = 0.3162 and Sb1 = 0.0642. a. At the 0.05 level of significance, is there evidence of a linear relationship between box office gross and DVD revenue? b. Construct a 95% confidence interval estimate of the population slope, beta1.
a. Determine the hypothesis
t stat = ?
Critical values = ?
Reach decision to reject or not
b. Construct 95% confidence interval
A movie's box office gross is used to predict DVD revenue. For a sample of 22...
The owner of a moving company wants to predict labor hours, based on the number of cubic feet moved. A total of 34 observations were made. An analysis of variance of these data showed that b1=0.0426 and Upper Sb1=0.0065. a. At the 0.05 level of significance, is there evidence of a linear relationship between the number of cubic feet moved and labor hours? b. Construct a 95% confidence interval estimate of the population slope β1. a. Determine the hypotheses for...
Will rate, thank you in advance. A researcher developed a regression model to predict the tear rating of a bag of coffee based on the plate gap in bag-sealing equipment. Data were collected on 32 bags in which the plate gap was varied. An analysis of variance from the regression showed that by = 0.7427 and Son = 0.2396. a. At the 0.05 level of significance, is there evidence of a linear relationship between the plate gap of the bag-sealing...
A researcher developed a regression model to predict the tear rating of a bag of coffee based on the plate gap in bag-sealing equipment. Data were collected on 2828 bags in which the plate gap was varied. An analysis of variance from the regression showed that b1equals=0.79240.7924 and Upper S Subscript b 1Sb1equals=0.20940.2094. a. At the 0.05 level of significance, is there evidence of a linear relationship between the plate gap of the bag-sealing machine and the tear rating of...
Box office Example with 2 Dummy variables: Let us define two dummy variables First yr box Total Prod Dummy Dummy Cost Promational Total Book Costs million dollan tion dailand (miltlion dollar li dolland Horro 85.10 106.30 50.20 130.60 5480 0.30 7940 91.00 5.10 5.80 2.10 8.50 12.90 5.20 10.70 3.10 3.50 9.20 9.00 15.10 0.20 7.00 14.00 4.70 8.80 15.10 12.20 0.60 3.50 9.70 5.90 20.80 7.90 10.40 3.00 Horror Drama 2.90 1.20 3.70 7.60 Drama 89.30 95.00 4.50 4.00...
Save Homework: Assignment 10 (Chapters 10 and 12) Score: 1.14 of 4 pts 10 of 10 (10 complete) % 12.7.47-T HW Score: 64.05%, 25.62 of 40 pts Question Help An agent for a real estate company wanted to predict the monthly rent for apartments based on the size of the apartment. The data for a sample of 25 apartments is available below. Perform a t test for the slope to determine if a significant linear relationship between the size and...
A researcher developed a regression model to predict the cost of a meal based on the summated rating (sum of ratings for food, decor, and service) and the cost per meal for 10 restaurants. The results of the study show that b, 1.5071 and S 0.1591 a. At the 0.05 level of significance, is there evidence of a linear relationship between the summated rating of a restaurant a and the cost of a S meal? b. Construct a 95% confidence...
A regression analysis is performed using data for 36 single-family homes to predict appraised value (in thousands of dollars) based on land area of the property (in acres), X1i, and age (in years), X2i, in month i. Use the results below to complete parts (a) and (b) below. Variable Coefficient Standard Error t Statistic p-value Intercept 392.60372 51.68272 7.60 0.0000 Area, X1 451.43475 100.48497 4.49 0.0001 Age,X2 −2.17162 0.79077 −2.75 0.0097 a. Construct a 95% confidence interval estimate...
For a sample of 20 New England cities, a sociologist studies the crime rate in each city (crimes per 100,000 residents) as a function of its poverty rate (in %) and its median income (in $1,000s). A portion of the regression results is as follows. [You may find it useful to reference the t table.) F 0.05 ANOVA Regression Residual Total M S 229.2 4,464.56 Significance F 0.950 df SS 2 458.3 17 75,897.54 1976,355.9 Intercept Poverty Income Coefficients 754.4596...
A bottled water distributor wants to determine whether the mean amount of water contained in 1-gallon bottles purchased from a nationally known water bottling company is actually 1 gallon. You know from the water bottling company specifications that the standard deviation of the amount of water is 0.02 gallon. You select a random sample of 45 bottles, and the mean amount of water per 1-gallon bottle is 0.994 gallon. Complete parts (a) through (d) below. a. Is there evidence that...