Exam 12: Simple Regression Analysis and Correlation

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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 _____________.

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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 ______.       -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 ______.       -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 ______. -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 ______.

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One of the assumptions made in simple regression is that ______________.

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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.  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  <img src=α\alpha = 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 α\alpha = 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 α\alpha = 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 α\alpha = 0.05,Abby should ________________.

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The total of the squared residuals is called the _______.

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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 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 __________. 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 __________. The numerical value of the correlation coefficient between the historic city tour sales and the size of city population is __________.

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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.

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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 _______.

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Data points that lie apart from the rest of the points are called deviants..

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In the regression equation,y = 49.56 + 0.97x,the slope is _______.

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The proportion of variability of the dependent variable accounted for or explained by the independent variable is called the _______.

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A standard deviation of the error of the regression model is called the _______.

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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 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: __________. 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: __________. Annie's regression model can be written as: __________.

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In regression,the predictor variable is called the dependent variable.

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The numerical value of the coefficient of correlation must be _______.

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The slope of the regression line,y = 21 − 5x,is 5.

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Consider the following scatter plot and regression line.At x = 50,the residual (error term)is _______.

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The first step in simple regression analysis usually is to construct a scatter plot.

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In a regression analysis if SST = 150 and SSR = 100,r 2 = _________.

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