6 which of the following expressions represents the

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6.Which of the following expressions represents the margin of error of a 99% confidence interval forthe slope of the population regression line?(a)0.37012.57628(b)()2.576 0.3701(c)0.37012.76328(d)2.763 0.3701(e)()2.763 0.3701Dependent variable is Oxygen ConsumptionR-squared = 72.9%s = 2.81737 with 30 – 2 = 28 degrees of freedomVariable Coefficients.e. of CoefficientP-valueConstant81.5893.961≤0.0001Run Time-3.20880.3701≤0.0001
Use the following for questions 7 – 9:A least squares regression analysis of the cost of tuition at a typical four-year private collegeversusyear(from 1976 through 2008) produced the following residual plot.7.Based on this residual plot, which of the following statements must be true?I.Tuition cost decreased from 1976 through 1982.II. This regression equation would underestimate tuition cost in 1992.III The relationship between tuition cost and year is non-linear.
8.The scatterplot of Log (Tuition cost)versusYear shows a strong, positive, linear pattern.Which oneof the following conclusions can be drawn from this information?
9.Below is the computer regression analysis of the relationship between Log (tuition cost) and year.Which of the following is the correct regression equation from this analysis?PredictorCoefSE CoefConstant-51.0552.997-17.030.000Year0.0276990.00150518.400.000S = 0.0507261R-Sq = 97.1%R-Sq(adj) = 96.8%++++TP
10.The typical lifespan for various mammal species in captivity (L)in years has been related to averageadult size (M) in kilograms according to the regression equation()ln2.4680.2 lnLM=+A typical adult Meerkat weighs about 0.9 kilograms.What is the predicted lifespan of a Meerkat incaptivity, according to this equation?(a) 2.4 years(b) 2.6 years(c) 11.6 years(d) 14.1 years(e) 28.8 years
Part 2:Free ResponseShow all your work.Indicate clearly the methods you use, because you will be graded on thecorrectness of your methods as well as on the accuracy and completeness of your results andexplanations.11.A psychologist counsels people who are getting divorced.He suspects that it is possible topredict—among the couples he works with—how long a marriage will last from how long thedivorcing couple’s courtship was before they got married.He selects a random sample of 10 of thehundreds of couples for whom he has records and performs a regression analysis.Below isnumerical and graphical output from his computer software.

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Term
Spring
Professor
mood
Tags
Least Squares, Linear Regression, Regression Analysis, Errors and residuals in statistics

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