Loose Leaf for Statistical Techniques in Business and Economics
17th Edition
ISBN: 9781260152647
Author: Douglas A. Lind
Publisher: McGraw-Hill Education
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Chapter 14, Problem 1.7PT
Given the following regression equation, Ŷ = 7 − .5X, and that the coefficient of determination is .81, answer questions 6, 7, and 8.
7. An increase of 1 unit in the independent variable will result in what amount of an increase or decrease in the dependent variable?
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The relationship between income
and expenditure y was estimated by
the following regression equation.
ý = 300 + 0.9.r
If a person has income 3500, what is
the predicted expenditure?
Select one:
a. 3450
O b. 2820
c. 2280
d. 3180
For the given data below, Solve, a. Find the regression equation, y = b0 + b1x.b. If x = 170 orders, how many shipments are expected?
Given the following multiple regression equation : y = 122+ 2 x, +1x2, where Y:Total expenses, Xị: income
and X2 wealth. If a person has an income of $1132 and a wealth of $2563. Then their total expenses
would be :
Select one:
O a. -4705.00
b. 6380.00
OC. 4949.00
O d. 4827.00
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Chapter 14 Solutions
Loose Leaf for Statistical Techniques in Business and Economics
Ch. 14 - There are many restaurants in northeastern South...Ch. 14 - The director of marketing at Reeves Wholesale...Ch. 14 - Thompson Photo Works purchased several new, highly...Ch. 14 - A consulting group was hired by the Human...Ch. 14 - Cellulon, a manufacturer of home insulation, wants...Ch. 14 - Refer to Self-Review 141 on the subject of...Ch. 14 - Prob. 5ECh. 14 - Prob. 6ECh. 14 - Prob. 3SRCh. 14 - Given the following regression output, answer the...
Ch. 14 - The following regression output was obtained from...Ch. 14 - A study by the American Realtors Association...Ch. 14 - The manager of High Point Sofa and Chair, a large...Ch. 14 - Prob. 10ECh. 14 - Prob. 11ECh. 14 - A real estate developer wishes to study the...Ch. 14 - Prob. 13CECh. 14 - Prob. 14CECh. 14 - Prob. 15CECh. 14 - Prob. 16CECh. 14 - The district manager of Jasons, a large discount...Ch. 14 - Suppose that the sales manager of a large...Ch. 14 - The administrator of a new paralegal program at...Ch. 14 - Prob. 20CECh. 14 - Prob. 21CECh. 14 - A regional planner is studying the demographics of...Ch. 14 - Great Plains Distributors, Inc. sells roofing and...Ch. 14 - Prob. 24CECh. 14 - Prob. 25CECh. 14 - Prob. 26CECh. 14 - An investment advisor is studying the relationship...Ch. 14 - Prob. 28CECh. 14 - Prob. 29CECh. 14 - The director of special events for Sun City...Ch. 14 - Prob. 31CECh. 14 - Prob. 32CECh. 14 - Prob. 33DACh. 14 - Prob. 34DACh. 14 - Prob. 35DACh. 14 - Prob. 1PCh. 14 - Quick-print firms in a large downtown business...Ch. 14 - The following ANOVA output is given. a. Compute...Ch. 14 - Prob. 1CCh. 14 - Prob. 2CCh. 14 - Prob. 3CCh. 14 - In a scatter diagram, the dependent variable is...Ch. 14 - What level of measurement is required to compute...Ch. 14 - If there is no correlation between two variables,...Ch. 14 - Which of the following values indicates the...Ch. 14 - Under what conditions will the coefficient of...Ch. 14 - Given the following regression equation, = 7 ...Ch. 14 - Given the following regression equation, = 7 ...Ch. 14 - Given the following regression equation, = 7 ...Ch. 14 - Prob. 1.9PTCh. 14 - In a multiple regression equation, what is the...Ch. 14 - Prob. 1.11PTCh. 14 - Prob. 1.12PTCh. 14 - For a dummy variable, such as gender, how many...Ch. 14 - What is the term given to a table that shows all...Ch. 14 - If there is a linear relationship between the...Ch. 14 - Given the following regression analysis output: a....Ch. 14 - Given the following regression analysis output. a....
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- Find the intensities of earthquakes whose magnitudes are (a) R=6.0 and (b) R=7.9.arrow_forwardbThe average rate of change of the linear function f(x)=3x+5 between any two points is ________.arrow_forwardLife Expectancy The following table shows the average life expectancy, in years, of a child born in the given year42 Life expectancy 2005 77.6 2007 78.1 2009 78.5 2011 78.7 2013 78.8 a. Find the equation of the regression line, and explain the meaning of its slope. b. Plot the data points and the regression line. c. Explain in practical terms the meaning of the slope of the regression line. d. Based on the trend of the regression line, what do you predict as the life expectancy of a child born in 2019? e. Based on the trend of the regression line, what do you predict as the life expectancy of a child born in 1580?2300arrow_forward
- Consider the following regression equation: y = -5.3 + 8.8x.What does 8.8 depict in the regression equation above? a. None of the options. b. The direction of the line. c. The point where x = 0. d. The y-intercept.arrow_forwardThe regression line for a data set showing the monthly utility bill U in a certain city versus the square footage F of the residence is given by U = 0.2F − 100 dollars. What monthly utility bill would be expected for a 2500 square foot home in this city? $arrow_forwardGiven the following multiple regression equation : y = 122+ 2 x1 + 1 x2, where Y:Total expenses, X1: income and X2 wealth . If a person has an income of $1132 and a wealth of $2563. Then their total expenses would be : Select one: Oa. -4705.00 Ob. 6380.00 OC. 4949.00 Od. 4827.00 Next page ACTIVITY NEXT ACTIVITY Jump to...arrow_forward
- d. Using the regression results reported above, please calculate and interpret the separate effects of being an athlete on college GPA for men and women.arrow_forwardA researcher wants to determine if the exam scores of the students are dependent on the length of time spent in studying the subject. Ten students in a certain class were taken and the results are shown in the table below where X is the time spent in studying the subject in hours and Y is the examination scores.Determine the regression equation Y = a + bX. Y = 695.7X + 51.6 Y = –7.67 + 0.12X Y = 69.6X + 52 Y = 69.6 + 5.2Xarrow_forwardWe would like to study the relationship between the number of family members in a household a and number of meals they eat together y. A regression equation based on a sample from the study is shown below. ŷ = = 1.47 – 0.08x Estimate the number of meals shared by a family with 6 members. Select one: O a. 3 O b. 0 O c. 1 O d. 2arrow_forward
- The following table gives the average August temperature (y) and geographic latitude (x) for 20 cities in the United States. The following formula is the regression equation relating these two variables. y=113.6-1.01x (a) The latitude at the equator is 0. Using the regression equation, estimate the average August temperature at the equator.arrow_forwardA regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y).The results of the regression were:y=ax+b a=-0.96 b=35.944 r2=0.736164 r=-0.858 Use this to predict the number of situps a person who watches 10.5 hours of TV can do (to one decimal place)arrow_forward For the regression equation Ŷ = –2X + 6, what can be determined about the correlation between X and Y? a. The correlation definitely will be positive. b. The correlation will be relatively large and positive c. The correlation definitely will be negative. d. The correlation will be relatively large and negative.arrow_forward
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