(а) y 90 54 50 53 80 91 35 41 60 48 35 61 60 71 40 56 60 71 55 68 40 47 65 36 55 53 35 11 50 68 60 70 65 57 90 79 50 79 35 59 A data set consist of dependent variable (y) and independent variable (x) as shown above. It is claims that the relationship between the x and y can be modelled through a regression model as follows: ŷ = a+bx where a and b are the estimated values for a and ß (refer to Appendix). (i) Determine the equation of the regression line to predict the y value from the x value. (ii) If the x value is 75, what is the value of y? (iii) Test the hypothesis that a=10 against the alternative a <10. Use a 0.05 level of significance.
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- Movie Theater Attendance The data shown are the weekly admissions, in millions, of people attending movie theaters over three different time periods. At α=0.01, is there a difference in the means for the weekly attendance for these time periods? Use the critical value method with tables. 1950 - 1974 1975 - 1990 1991 - 2000 56.7 16.3 22.8 38.3 18.2 26.0 26.0 18.8 28.1 18.9 20.5 26.8 19.9 23.9 25.2 16.5 25.6 27.7 Assume that all variables are normally distributed, that the samples are independent, that the population variances are equal, and that the samples are simple random samples, one from each of the populations.Let YY represent the profit (or loss) for a certain company XX years after 1970. Based on the data shown below, a statistician calculates a linear model Y=−0.81X+19.46Y=-0.81X+19.46. x y 2 18.91 3 16.34 4 16.47 5 14.1 6 15.43 7 12.86 8 12.79 9 13.12 10 10.55 11 11.28 12 8.81 13 9.14 14 9.67 15 6.1 Use the model to estimate the profit in `1977y =Repair revenues from labor costs of the bicycle shop are given below: X 7.1 2.2 7.2 3.1 3.3 3.5 7.7 4.1 6.8 4.7 5.3 5.5 6.1 Y 3.9 1.7 3.7 1.5 2.2 1.4 4.9 2.5 4.5 3.4 2.3 3.6 3.2 Determine whether there is significant relationship at 0.05 level of significance Predict the value of Y if x are 2.7 and 1.5.
- 1. A study of the potential of acrylonitrile to produce brain tumors in rats was conducted by administering the carcinogen in drinking water for 24 months. The results of the study for female rats are tabulated below: Dose (mg/kg-day) Brain tumor incidence 0 1/179 0.12 1/90 0.36 2/91 1.25 4/85 3.65 6/90 10.89 23/88 (a) Determine the potency factor (PF) of the dose-response relationship (assume it is linear). (Don’t forget to account for the one rat that had a brain tumor even though he wasn’t exposed to the chemical). (b) How accurate is the linear model for this data?A study of law firms produced the following regression output. The dependent variable is the total amount of fees in millions of dollars. Predictor Coefficient SE Coefficient t p-value Constant 7.443 2.990 2.489 0.010 x1 0.214 0.044 4.864 0.000 x2 -1.143 0.581 -1.967 0.028 x3 -0.159 0.057 -2.789 0.114 x4 0.579 0.314 1.844 0.001 x5 -0.024 0.021 -1.143 0.112 ANOVA Table Source DF SS MS F P-Value Regression 5 1975.76 395.2 9.68 0.000 Residual Error 55 2244.25 40.80 Total 60 4220.01 How large is the sample? Compute the F statistic (round to 2 decimal places) State the Decision Rule for each independent variable. Use the 0.05 significance level. Reject Ho if t<? or t>? (round to 3 decimal places).A student used multiple regression analysis to study how family spending (y) is influenced by income(x1), family size (x2), and additionsto savings(x3). The variables y, x1, and x3 are measured in thousandsof dollars. The following results were obtained.ANOVAdf SSRegression 3 45.9634Residual 11 2.6218TotalCoefficients Standard ErrorIntercept 0.0136x10.7992 0.074x20.2280 0.190x3-0.5796 0.920 Carry out a test to see if x3 and y are significantly related. Use a 5% level of significance.
- A student used multiple regression analysis to study how family spending (y) is influenced by income(x1), family size (x2), and additionsto savings(x3). The variables y, x1, and x3 are measured in thousandsof dollars. The following results were obtained.ANOVAdf SSRegression 3 45.9634Residual 11 2.6218TotalCoefficients Standard ErrorIntercept 0.0136x10.7992 0.074x20.2280 0.190x3-0.5796 0.920 Carry out a test to determine whether y is significantly related to the independent variables.Use a 5% level of significance.Snowpacks contain a wide spectrum of pollutants thatmay represent environmental hazards. The article“Atmospheric PAH Deposition: Deposition Velocitiesand Washout Ratios” (J. of EnvironmentalEngineering, 2002: 186–195) focused on the depositionof polyaromatic hydrocarbons. The authors proposeda multiple regression model for relating depositionover a specified time period (y, in mg/m2) to tworather complicated predictors x1 (mg-sec/m3) and x2 (mg/m2), defined in terms of PAH air concentrations forvarious species, total time, and total amount of precipitation.Here is data on the species fluoranthene andcorresponding Minitab output:obs x1 x2 flth1 92017 .0026900 278.782 51830 .0030000 124.533 17236 .0000196 22.654 15776 .0000360 28.685 33462 .0004960 32.666 243500 .0038900 604.707 67793 .0011200 27.698 23471 .0006400 14.189 13948 .0004850 20.6410 8824 .0003660 20.6011 7699 .0002290 16.6112 15791 .0014100 15.0813 10239 .0004100 18.0514 43835 .0000960 99.7115 49793 .0000896 58.9716 40656…In an analysis of a sample of bivariate data concerning the soil acidity x (in pH) and germination time y (in days) for tomato seeds, a linear regression model is constructed and follows the equation y^=−1.22x+5y^=−1.22x+5 Select the most appropriate statement about the linear correlation exhibited. A. The data set exhibits strong positive linear correlation. B.We cannot determine anything about the strength or direction of linear correlation from this information alone. C. The data set exhibits strong negative linear correlation. D. The linear correlation coefficient is -1.22.
- An analyst fits the following regression model using 1,000 sample data: Profit = 30.23 + 20.62 Service Quality + 5.25 Product Quality + ε The Service Quality was recorded on a 6-point Likert scale by their customers, while the Product Quality was rated at 0 – 100 marks by the engineers. The analyst finds that the p-value of the Global F test is 0.000001, and the p-values of the two individual t tests are 0.045 and 0.039 respectively. The 4 assumptions about the random error term are all satisfied. Taking 5% significance level, the analyst concludes that Product Quality is a less important factor than Service Quality in affecting the Profit, hence he recommends the company to put all resources in enhancing the Service Quality in order to maximize Profit. Do you agree with his conclusion? List three reasons to support your answerA food bank investigates if the number of times their donors walk by a homeless person each week impacts donors’ charitable contribution to the food bank. The data are presented below in standard form. # of homeless people seen each week Donation to food bank Donor ZX ZY 1 -1.3 0.36 2 0.64 -0.09 3 -1.1 1.26 4 -0.14 0.14 5 1.41 -0.54 6 -0.52 -0.09 7 1.03 -1.9 8 0.64 -0.99 9 0.83 0.36 10 -1.49 1.49 What does ΣZXZY equal? A) 941B) 7.86C) -7.16D) -4.44 What is the correlation (Pearson’s r) between the number of homeless people donors see each week and their donation to the food bank (rounded to 2 decimal places)? A) .98B) -.80C) .72D) -.56 What is the obtained t-value for this r? A) -2.96B) -16.35C) -3.72D) -1.89 What are the degrees of freedom? A) 4B) 20C) 8D) 10 What is the critical t-value? A) 3.68B) 2.31C) 2.01D) 3.30 What is your conclusion? A) There is…A food bank investigates if the number of times their donors walk by a homeless person each week impacts donors’ charitable contribution to the food bank. The data are presented below in standard form. # of homeless people seen each week Donation to food bank Donor ZX ZY 1 -1.3 0.36 2 0.64 -0.09 3 -1.1 1.26 4 -0.14 0.14 5 1.41 -0.54 6 -0.52 -0.09 7 1.03 -1.9 8 0.64 -0.99 9 0.83 0.36 10 -1.49 1.49 What does ΣZXZY equal? A) 941B) 7.86C) -7.16D) -4.44 What is the correlation (Pearson’s r) between the number of homeless people donors see each week and their donation to the food bank (rounded to 2 decimal places)? A) .98B) -.80C) .72D) -.56 What is the obtained t-value for this r? A) -2.96B) -16.35C) -3.72D) -1.89