Concept explainers
Finding the Equation of a Regression Line In Exercises 17–26, find the equation of the regression line for the data. Then construct a
17. Height and Number of Stories The heights (in feet) and the numbers of stories of the nine tallest buildings in Houston, Texas (Source: Empires Corporation)
(a) x = 950 feet
(b) x = 850 feet
(c) x = 800 feet
(d) x = 700 feet
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Chapter 9 Solutions
Elementary Statistics: Picturing the World (7th Edition)
- Refer to the data set: Part a: Make a scatterplot and determine which type of model best fits the data.Part b: Find the regression equation, round to two decimal places if necessary.Part c: Use the equation from Part b to determine y when x = -3.6.arrow_forwardStatistics - Regression Analysisarrow_forwardRefer to the data set: (1, 2.5), (2.5, 15), (0.5, 2), (-2, 0.5), (0, 1), (1.5, 5)Part a: Make a scatterplot and determine which type of model best fits the data.Part b: Find the regression equation, round decimals to one place.Part c: Use the equation from Part b to determine y when x = 6.arrow_forward
- Refer to the data set:(-1, 2), (1, 3), (1, 5), (2, 7), (3, 8), (4, 11)Part a: Make a scatter plot and determine which type of model best fits the data.Part b: Find the regression equation.Part c: Use the equation from Part b to determine y when x = 10arrow_forwardAppendix B Data Sets. In Exercises 13–16, refer to the indicated data set in Appendix B and use technology to obtain results. Predicting IQ Score Refer to Data Set 8 “IQ and Brain Size” in Appendix B and find the best regression equation with IQ score as the response (y) variable. Use predictor variables of brain volume and/or body weight. Why is this equation best? Based on these results, can we predict someone’s IQ score if we know their brain volume and body weight? Based on these results, does it appear that people with larger brains have higher IQ scores?arrow_forwardRegression analysis is a statistical tool used to describe a linear or a non linear relationship between one or more predictor variables and one response variable Select one: a. True b. Falsearrow_forward
- -Using the data in Table 6–11, answer the following: What is the slope? What is the intercept? Write the regression equation. Calculate a regression forecast for month 25.arrow_forwardQ2) Convert the data in table below into information using regression approach. X 1 2 3 4 5 6 Y 6 1 9 5 17 12arrow_forwardRegression establishes functional relationship between and variable. a. Cross and Managerial O b. Mutual and Managerial O C. Average and Mutual O d. Independent and dependentarrow_forward
- Regression analysis. The owner of a small hardware store has noted has a sales patter for window locks that seems to parallel the number of break -ins reported each week in the newspaper. The data are : Sales 46 18 20 22 27 34 14 37 30 Break-ins 9 3 3 5 4 7 2 6 4 Plot the data to determine which types of equation, linear or nonlinear. is appropriate. Obtain a regression equation for the data Estimate average sales when the number of break -ins is five.arrow_forwardConstruct a scatter plot of the data in the table AND create a linear model. 2 10 12 10 14 14 16 18 18 24 a EGO (99- 2.arrow_forwardsearch Refer to the data set: y X -3 -2 =1 -00 .......... 1 8 1 7 −IN 01 1 2 2 4 Part a: Make a scatter plot and determine which type of model best fits the data. Part b: Find the regression equation. Part c: Use the equation from Part b to determine y when x = 5 For the toolbar, press ALT+F10 (PC) or ALT+FN+F10 (Mac). BIUS Paragraph V Arial h V © O Click Save and Submit to save and submit. Click Save All Answers to save all answers. 10pt DELLarrow_forward
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