Exam 12: Simple Regression Analysis and Correlation

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The equation of the trend line for the data based on sales (in $1000)of a local restaurant over the years 2005-2010 is Sales= -265575+132.571 year.Using the trend line,the forecast sales for the year 2012 is ________

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For the regression line,y = 21 − 5x,21 is the y-intercept of the line.

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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= 11ea8a11_bc89_6776_9fff_6fbac6884e88_TB6468_00 Abby's regression model is __________.s),and her independent variable is annual household income (in $1,000's).Regression analysis of the data yielded the following tables. Abby's regression model is __________." class="answers-bank-image d-inline" loading="lazy" > Abby's regression model is __________.s),and her independent variable is annual household income (in $1,000's).Regression analysis of the data yielded the following tables. Abby's regression model is __________." class="answers-bank-image d-inline" loading="lazy" > 11ea8a11_bc89_6776_9fff_6fbac6884e88_TB6468_00 Abby's regression model is __________.

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

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  -For a certain data set the regression equation is y = 29 - 5x.The correlation coefficient between y and x in this data set _______. -For a certain data set the regression equation is y = 29 - 5x.The correlation coefficient between y and x in this data set _______.

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

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Given x,a 95% prediction interval for a single value of y is always wider than a 95% confidence interval for the average value of y.

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A manager wants to predict the cost (y)of travel for salespeople based on the number of days (x)spent on each sales trip.The following model has been developed: y = $400 + 120x.If a trip took 3 days,the predicted cost of the trip is _____________.

(Multiple Choice)
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In the regression equation,y = 2.164 + 1.3657x,n = 6,the mean of x is 8.667,Sxx= 89.333 and Se= 3.44.A 95% confidence interval for the average of y when x=8 is _________

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  -For a certain data set the regression equation is y = 37 + 13x.The correlation coefficient between y and x in this data set _______. -For a certain data set the regression equation is y = 37 + 13x.The correlation coefficient between y and x in this data set _______.

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

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One of the assumptions of simple regression analysis is that the error terms are exponentially distributed

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Regression output from Excel software includes an ANOVA table.

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A t-test is used to determine whether the coefficients of the regression model are significantly different from zero.

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The following data is to be used to construct a regression model: The following data is to be used to construct a regression model:   The value of the intercept is ________. The value of the intercept is ________.

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

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In simple regression analysis the error terms are assumed to be independent and normally distributed with zero mean and constant variance.

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A manager wants to predict the cost (y)of travel for salespeople based on the number of days (x)spent on each sales trip.The following model has been developed: y = $400 + 120x.If a trip took 4 days,the predicted cost of the trip is _____________.

(Multiple Choice)
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Regression methods can be pursued to estimate trends that are linear in time.

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Regression output from Excel software directly shows the regression equation.

(True/False)
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