Exam 16: Regression

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In linear regression analysis, we assume that for each value of xx the variable to be predicted has a mean of __________.

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μyx\mu_{y} \mid x

The following data gives the demand of a product (in hundreds of units) for five different price levels (in dollars): The following data gives the demand of a product (in hundreds of units) for five different price levels (in dollars):    Fit a parabola to this data. Fit a parabola to this data.

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y=2.016+29.924x1.964x2y=2.016+29.924 x-1.964 x^{2}

The symbol used to indicate the yy values of points on a least-squares line is

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C

In general, the smaller the standard error of estimate the better the least-squares regression line.

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The term which measures the dispersion of the yy values about the estimated least-squares line is called __________.

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If we are testing the hypothesis that β=0\beta=0 against the alternative that β0\beta \neq 0 when there are 12 data points and α=0.05\alpha=0.05 , the correct tt value to be used is

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Using a 95% confidence level, construct an interval estimate of the mean consumer awareness of a single product, assuming $700,000\$ 700,000 is spent for its promotion.

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Table 16.1 The table below shows annual profit figures (in thousands of dollars) for a company. Table 16.1 The table below shows annual profit figures (in thousands of dollars) for a company.    -Fit an exponential trend to the data in Table 16.1. -Fit an exponential trend to the data in Table 16.1.

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A multiple regression equation with three independent variables has the form __________.

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If paired data plotted on log-log paper fall close to a straight line, we would expect a parabola to provide a good fit for the data.

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In regression analysis, the quantity that gives the amount by which yy changes for a unit change in xx is called the

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The normal equations are obtained from minimizing

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The slope of the true regression line is given by

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When we make inferences about the regression coefficients α\alpha and β\beta , the number of degrees of freedom that is required to use the tt table is __________.

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Table 16.3 A study is supposed to examine the relationship between the amount spent on advertising a new product (x)(x) and consumer awareness of the product ( yy ) based on the proportion of people who have heard of it. Suppose a sample shows the data below for four different products.  Table 16.3 A study is supposed to examine the relationship between the amount spent on advertising a new product  (x)  and consumer awareness of the product (  y ) based on the proportion of people who have heard of it. Suppose a sample shows the data below for four different products.    -Use the data in Table 16.3 to solve the following: a. Find the equation of the least-squares line that will allow us to predict consumer awareness from the advertising expense. b. Calculate the standard error of estimate. c. Can the equation found in part (a) be used for an advertising expense of 60 thousand dollars? Why or why not? -Use the data in Table 16.3 to solve the following: a. Find the equation of the least-squares line that will allow us to predict consumer awareness from the advertising expense. b. Calculate the standard error of estimate. c. Can the equation found in part (a) be used for an advertising expense of 60 thousand dollars? Why or why not?

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The estimated regression line is the line that minimizes the sum of the squares of the distances from the given points to the line.

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Given the regression equation y=3+7xy=3+7 x , the most central value in a confidence interval for the mean of yy , given x=4x=4 is

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A personnel manager wants to predict the salary (in thousands of dollars) of a systems analyst based on number of years of experience. A random sample of 12 systems analysts produces the following results: A personnel manager wants to predict the salary (in thousands of dollars) of a systems analyst based on number of years of experience. A random sample of 12 systems analysts produces the following results:     a. Find the least-squares line which predicts salary based on years of experience. b. Predict the salary of a system analyst with five years experience. a. Find the least-squares line which predicts salary based on years of experience. b. Predict the salary of a system analyst with five years experience.

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In a two-tailed hypothesis test that β=0\beta=0 , the tabled tt values are -2.262 and 2.262 . If the obtained tt value is 1.83 , the null hypothesis __________ rejected.

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Using a 5%5 \% significance level, test the hypothesis that advertising expenditure has no impact on consumer awareness of a single product, assuming $700,000\$ 700,000 is spent for its promotion.

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