Concept explainers
In exercise 1, the following estimated regression equation based on 10 observations was presented.
Here SST = 6724.125, SSR = 6216.375,
- a. Compute MSR and MSE.
- b. Compute F and perform the appropriate F test. Use α = .05.
- c. Perform a t test for the significance of β1. Use α = .05.
- d. Perform a t test for the significance of β2. Use α = .05.
- 1. The estimated regression equation for a model involving two independent variables and 10 observations follows.
- a. Interpret b1 and b2 in this estimated regression equation.
- b. Predict y when x1 = 180 and x2 = 310.
Trending nowThis is a popular solution!
Chapter 15 Solutions
Essentials Of Statistics For Business & Economics
- Find the mean hourly cost when the cell phone described above is used for 240 minutes.arrow_forwardWhat does the y -intercept on the graph of a logistic equation correspond to for a population modeled by that equation?arrow_forwardThe following table gives the data for the grades on the midterm exam and the grades on the final exam. Determine the equation of the regression line, yˆ=b0+b1x�^=�0+�1�. Round the slope and y-intercept to the nearest thousandth. Grades on Midterm and Final Exams Grades on Midterm 7171 6262 7878 9494 8383 8181 8080 9494 8585 6262 Grades on Final 8888 7979 8888 9191 8080 7070 7171 9393 6565 7777arrow_forward
- Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Find the regression equation, letting the right arm blood pressure be the predictor (x) variable. Find the best predicted systolic blood pressure in the left arm given that the systolic blood pressure in the right arm is 80 mm Hg. Use a significance level of 0.05. -------------- on the second question, 155.2 is the right answer but I don't know how to get the answer. Could you please help me.arrow_forwardFor each gender, estimate an earnings regression where the dependent variable is Annual Earnings and the independent variable is Age. Report the results for each regression, and provide an interpretation of the coefficient associated with age. Female- annual earning: 49347.58 age: 42.81 education: 14.4 Male- Annual earning: 69984.54 age: 42.86 education: 14.11.arrow_forwardA regression was run to determine if there is a relationship between hours of TV watched per day (xx) and number of situps a person can do (yy).The results of the regression were:y=ax+b a=-0.853 b=34.041 r2=0.389376 r=-0.624 Use this to predict the number of situps a person who watches 7 hour(s) of TV can do, and please round your answer to a whole number.arrow_forward
- The following estimated regression equation based on 10 observations was presented. ŷ = = 26.1270 +0.5906x₁ +0.4980x2 (a) Develop a point estimate of the mean value of у when X1 = 170 and X₂ = 320. (b) Develop a point estimate for an individual value of y when X₁ = 170 and X₂ = 320.arrow_forwardListed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Find the regression equation, letting the right arm blood pressure be the predictor (x) variable. Find the best predicted systolic blood pressure in the left arm given that the systolic blood pressure in the right arm is 95 mm Hg. Use a significance level of 0.05. Given that the systolic blood pressure in the right arm is 95 mm Hg, the best predicted systolic blood pressure in the left arm is ____ mm Hg. Right Arm Left Arm103 177102 17196 15076 14677 146arrow_forwardCompany Legal Name ASX Code ORIGIN ENERGY LTD ORG ORIGIN ENERGY LTD ORG ORG ORG ORG ORIGIN ENERGY LTD ORIGIN ENERGY LTD ORIGIN ENERGY LTD ORIGIN ENERGY LTD ORG ORIGIN ENERGY LTD ORG ORIGIN ENERGY LTD ORG ORIGIN ENERGY LTD ORG ORIGIN ENERGY LTD ORIGIN ENERGY LTD ORIGIN ENERGY LTD ORG ORIGIN ENERGY LTD ORG ORIGIN ENERGY LTD ORG ORIGIN ENERGY LTD ORG ORIGIN ENERGY LTD ORG ORIGIN ENERGY LTD ORG ORIGIN ENERGY LTD ORG ORIGIN ENERGY LTD ORG ORIGIN ENERGY LTD ORG ORG QEarnings 1 Date 2 2019/4/1 3 2019/4/2 4 2019/4/3 5 2019/4/4 6 2019/4/5 7 2019/4/8 8 2019/4/9 9 2019/4/10 10 2019/4/11 11 2019/4/12 12 2019/4/15 13 2019/4/16 14 2019/4/17 15 2019/4/18 16 2019/4/23 17 2019/4/24 18 2019/4/26 19 2019/4/29 20 2019/4/30 21 2019/5/1 22 2019/5/2 2019/5/3 23 24 2019/5/6 25 2019/5/7 26 2019/5/8 27 2019/5/9 28 2019/5/10 29 2019/5/13 30 2019/5/14 31 2019/5/15 32 2019/5/16 33 2019/5/17 34 2019/5/20 2019/5/21 35 36 2019/5/22 37 2019/5/23 38 2019/5/24 39 40 2019/5/27 2019/5/28 41 2019/5/29 42 2019/5/30 1 Date…arrow_forward
- One set of 20 pairs of scores, X and Y values, produces a correlation of r = 0.70. If SSY = 150, calculate the standard error of the estimate for the regression linearrow_forwardFour pairs of data yield r= 0.942 and regression equation y=3x.Also, y= 12.75. What is the best predicted value of y for x= 2.9?arrow_forwardListed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Find the regression equation, letting the right arm blood pressure be the predictor (x) variable. Find the best predicted systolic blood pressure in the left arm given that the systolic blood pressure in the right arm is 85 mm Hg. Use a significance level of 0.05. Right Arm 101 100 92 79 79 Left Arm 175 168 181 142 144 LOADING... Click the icon to view the critical values of the Pearson correlation coefficient r The regression equation is y=enter your response here+enter your response herex. (Round to one decimal place as needed.) Given that the systolic blood pressure in the right arm is 85 mm Hg, the best predicted systolic blood pressure in the left arm is enter your response here mm Hg. (Round to one decimal place as needed.)arrow_forward
- Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw HillCollege Algebra (MindTap Course List)AlgebraISBN:9781305652231Author:R. David Gustafson, Jeff HughesPublisher:Cengage Learning
- Big Ideas Math A Bridge To Success Algebra 1: Stu...AlgebraISBN:9781680331141Author:HOUGHTON MIFFLIN HARCOURTPublisher:Houghton Mifflin Harcourt