The following table contains data from a sample of ten students regarding the numbers of parking tickets they received during one semester and their monthly incomes (including allowances from parents as well as paychecks from employment as income). Construct a 95 % confidence interval for the y-intercept of the regression line. Round your answers to two decimal places, if necessary. Parking Tickets and Monthly Income Monthly Income (in Number of Tickets, x Dollars), y 3200 1 1500 3 2200 1000 4 2200 3 1400 1400 3800 3 1800 1200 Copy Data
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- The following table contains data from a sample of ten students regarding the numbers of parking tickets they received during one semester and their monthly incomes (including allowances from parents as well as paychecks from employment as income). Construct a 95%95% confidence interval for the y-intercept of the regression line. Round your answers to two decimal places, if necessary. Parking Tickets and Monthly Income Number of Tickets, x Monthly Income (in Dollars), y 7 2800 3 2300 8 3400 10 3800 10 3800 2 1600 6 2100 5 1800 5 2500 5 2000The following table lists the monthly incomes (in hundreds of dollars) and the monthly rents paid (in hundreds of dollars) by a sample of six families. Monthly Income Monthly Rent 24 7.0 16 4.5 19 6.5 31 11.6 10 4.5 27 8.5 1.The 99% confidence interval for the slope, B, of the population regression line is (2 decimals): __________________________________________ 2. The null hypothesis is that the slope of the population regression line of monthly rent on monthly income is zero and the alternative hypothesis is that the slope of this population regression line is greater than zero. The significance level is 1%. What is the critical value of t (3 decimals)? __________________________________________ 3. The null hypothesis is that the slope of the population regression line of monthly rent on monthly income is zero and the alternative hypothesis is that the slope of this population regression line is greater than zero. The significance level is 1%. What is…A sample of n = 120 scores were presented using the Tenacity (authority) scores to the following predictors: age gender, SES, tone of voice, and clothing. Using a two-tailed test at the 0.05 level of significance, a multiple regression analysis was computed: 1. tenacity and age (pvalue = 0.043); 2. tenacity and gender (pvalue = 0.102); 3. tenacity and SES (pvalue = 0.40); Using the pvalue, provide your DECISION, whether: Accept Ho or Reject Ho, Accept Ha
- Using the regression results in column (1):a. Is the college–high school earnings difference estimated from thisregression statistically significant at the 5% level? Construct a 95%confidence interval of the difference.b. Is the male–female earnings difference estimated from this regressionstatistically significant at the 5% level? Construct a 95% confidenceinterval for the differencA 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 12 restaurants. The results of the study show that b1=1.4379 and Sb1=0.1397. a. At the 0.05 level of significance, is there evidence of a linear relationship between the summated rating of a restaurant and the cost of a meal? b. Construct a 95% confidence interval estimate of the population slope, β1. a. Determine the hypotheses for the test. Choose the correct answer below. A. H0: β1=0 H1: β1≠0 B. H0: β0≤0 H1: β0>0 C. H0: β1≤0 H1: β1>0 D. H0: β0≥0 H1: β0<0 E. H0: β1≥0 H1: β1<0 F. H0: β0=0 H1: β0≠0 Compute the test statistic. The test statistic is ? (Round to two decimal places as needed.) Determine the critical value(s). The critical value(s) is(are) ? (Use a comma to separate answers as needed.…In Exercises, presume that the assumptions for regression inferences are met.Crown-Rump Length. Following are the data on age of fetuses and length of crown-rump from Exercise. x 10 10 13 13 18 19 19 23 25 28 y 66 66 108 106 161 166 177 228 235 280 a. Determine a point estimate for the mean crown-rump length of all 19-week-old fetuses.b. Find a 90% confidence interval for the mean crown-rump length of all 19-week-old fetuses.c. Find the predicted crown-rump length of a 19-week-old fetus.d. Determine a 90% prediction interval for the crown-rump length of a 19-week-old fetus.ExerciseApplying the Concepts and SkillsIn Exercises, we repeat the information from Exercises. For each exercise here, discuss what satisfying Assumptions 1–3 for regression inferences by the variables under consideration would mean.
- As concrete cures, it gains strength. The following data represent the 7-day and 28-day strength in pounds per square inch (psi) of a certain type of concrete 7-Day Strength (psi), x 3340 3390 3380 2300 2480 28-Day Strength (psi), y 4630 5220 5020 4070 4120 Construct a 95% confidence interval about the slope of the true least-squares regression line. Lower bound:______. (Round to three decimal places as needed.) Upper bound:________.(Round to three decimal places as needed.)A sample of n = 120 scores were presented using the Tenacity (authority) scores to the following predictors: age gender, SES, tone of voice, and clothing. Using a two-tailed test at the 0.05 level of significance, a multiple regression analysis was computed: 1. tenacity and age (pvalue = 0.043) Using the pvalue, provide your DECISION, whether: Accept Ho or Reject Ho, Accept HaA sample of n = 120 scores were presented using the Tenacity (authority) scores to the following predictors: age gender, SES, tone of voice, and clothing. Using a two-tailed test at the 0.05 level of significance, a multiple regression analysis was computed: 1. tenacity and voice (pvalue = 0.001); 2. tenacity and clothing (pvalue = 0.017); Using the pvalue, provide your DECISION, whether: Accept Ho or Reject Ho, Accept Ha
- A sample of n = 120 scores were presented using the Tenacity (authority) scores to the following predictors: age gender, SES, tone of voice, and clothing. Using a two-tailed test at the 0.05 level of significance, a multiple regression analysis was computed: 1. tenacity and age (pvalue = 0.043); 2. tenacity and gender (pvalue = 0.102); 3. tenacity and SES (pvalue = 0.40); 4. tenacity and voice (pvalue = 0.001); 5. tenacity and clothing (value = 0.017); SOrs Using the pvalue, provide your DECISION, whether:Accept Ho or Reject Ho, Accept HaAn Internet retailer would like to investigate the relationship between the amount of time in minutes a purchaser spends on its Web site and the amount of money he or she spends on an order. The table to the right shows the data from a random sample of 12customers. Construct a 90% confidence interval for the regression slope. Order Size Time Order Size 17 $73 3 $60 14 $25 38 $365 26 $96 7 $126 22 $196 38 $158 1 $51 25 $76 12 $39 8 $252 Construct a 90% confidence interval for the slope. LCL= UCL= (Round to three decimal places as needed.)A sample of n = 120 scores were presented using the Tenacity (authority) scores to the following predictors: age gender, SES, tone of voice, and clothing. Using a two-tailed test at the 0.05 level of significance, a multiple regression analysis was computed: 5. tenacity and clothing (value = 0.017); SOrs Using the pvalue, provide your DECISION, whether: Accept Ho or Reject Ho, Accept Ha