Exam 12: Simple Regression Analysis and Correlation
Exam 1: Introduction to Statistics86 Questions
Exam 2: Charts and Graphs55 Questions
Exam 3: Descriptive Statistics59 Questions
Exam 4: Probability76 Questions
Exam 5: Discrete Distributions81 Questions
Exam 6: Continuous Distributions83 Questions
Exam 7: Sampling and Sampling Distributions87 Questions
Exam 8: Statistical Inference: Estimation for Single Populations82 Questions
Exam 9: Statistical Inference: Hypothesis Testing for Single Populations85 Questions
Exam 10: Statistical Inferences About Two Populations81 Questions
Exam 11: Analysis of Variance and Design of Experiments90 Questions
Exam 12: Simple Regression Analysis and Correlation98 Questions
Exam 13: Multiple Regression Analysis85 Questions
Exam 14: Building Multiple Regression Models78 Questions
Exam 15: Time-Series Forecasting and Index Numbers75 Questions
Exam 16: Analysis of Categorical Data77 Questions
Exam 17: Nonparametric Statistics76 Questions
Exam 18: Statistical Quality Control68 Questions
Exam 19: Decision Analysis79 Questions
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A manager wishes to predict the annual cost (y)of an automobile based on the number of miles (x)driven.The following model was developed: y = 2,000 + 0.42x.If a car is driven 30,000 miles,the predicted cost is _____________.
(Multiple Choice)
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-A cost accountant is developing a regression model to predict the total cost of producing a batch of printed circuit boards as a linear function of batch size (the number of boards produced in one lot or batch).The slope of the accountant's model is ______.



(Multiple Choice)
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One of the assumptions made in simple regression is that ______________.
(Multiple Choice)
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Abby Kratz,a market specialist at the market research firm of Saez,Sikes,and Spitz,is analyzing household budget data collected by her firm.Abby's dependent variable is monthly household expenditures on groceries (in $'s),and her independent variable is annual household income (in $1,000's).Regression analysis of the data yielded the following tables.
= 0.05,Abby should ________________.s),and her independent variable is annual household income (in $1,000's).Regression analysis of the data yielded the following tables. Using \alpha = 0.05,Abby should ________________. " class="answers-bank-image d-inline" loading="lazy" > 11eaa55d_2fe2_68fe_85d2_4fd2c073cf30_TB3123_00
Using = 0.05,Abby should ________________.s),and her independent variable is annual household income (in $1,000's).Regression analysis of the data yielded the following tables. Using \alpha = 0.05,Abby should ________________. " class="answers-bank-image d-inline" loading="lazy" >
Using = 0.05,Abby should ________________.s),and her independent variable is annual household income (in $1,000's).Regression analysis of the data yielded the following tables. Using \alpha = 0.05,Abby should ________________. " class="answers-bank-image d-inline" loading="lazy" > 11eaa55d_2fe2_68fe_85d2_4fd2c073cf30_TB3123_00
Using = 0.05,Abby should ________________.

(Multiple Choice)
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Annie Mikhail,market analyst for a national company specializing in historic city tours,is analyzing the relationship between the sales revenue from historic city tours and the size of the city.She gathers data from six cities in which the tours are offered.Annie's dependent variable is annual sales revenues and her independent variable is the city population.Regression analysis of the data yielded the following tables.
The numerical value of the correlation coefficient between the historic city tour sales and the size of city population is __________.


(Multiple Choice)
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The difference between the actual y value and the predicted y value found using a regression equation is called the residual.
(True/False)
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The coefficient of correlation in a simple regression analysis is = - 0.6.The coefficient of determination for this regression would be _______.
(Multiple Choice)
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Data points that lie apart from the rest of the points are called deviants..
(True/False)
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In the regression equation,y = 49.56 + 0.97x,the slope is _______.
(Multiple Choice)
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The proportion of variability of the dependent variable accounted for or explained by the independent variable is called the _______.
(Multiple Choice)
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A standard deviation of the error of the regression model is called the _______.
(Multiple Choice)
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A manager wishes to predict the annual cost (y)of an automobile based on the number of miles (x)driven.The following model was developed: y = 2,000 + 0.42x. If a car is driven 15,000 miles,the predicted cost is ____________.
(Multiple Choice)
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Annie Mikhail,market analyst for a national company specializing in historic city tours,is analyzing the relationship between the sales revenue from historic city tours and the size of the city.She gathers data from six cities in which the tours are offered.Annie's dependent variable is annual sales revenues and her independent variable is the city population.Regression analysis of the data yielded the following tables.
Annie's regression model can be written as: __________.


(Multiple Choice)
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In regression,the predictor variable is called the dependent variable.
(True/False)
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The numerical value of the coefficient of correlation must be _______.
(Multiple Choice)
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Consider the following scatter plot and regression line.At x = 50,the residual (error term)is _______.
(Multiple Choice)
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The first step in simple regression analysis usually is to construct a scatter plot.
(True/False)
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In a regression analysis if SST = 150 and SSR = 100,r 2 = _________.
(Multiple Choice)
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