Let y represent the profit (or loss) for a certain company years after 1960. Based on...
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Let y represent the profit (or loss) for a certain company years after 1960. Based on the data shown below, a statistician calculates a linear model y = = 1.70x +33.31. x 3 4 5 6 7 8 9 y 28.66 26.45 23.94 22.53 23.12 19.21 17.9 Use the model to estimate the profit in 1964. Round to the nearest cent. The estimated profit in 1964 is $ You run a regression analysis on a bivariate set of data n = 78). You obtain the regression equation y = 3.877x 56.977 with a correlation coefficient of r = 0.931 (which is significant at a = 0.01). You want to predict what value (on average) for the explanatory variable will give you a value of 60 on the response variable. - What is the predicted explanatory value? X = (Report answer accurate to one decimal place.) Let y represent the profit (or loss) for a certain company years after 1960. Based on the data shown below, a statistician calculates a linear model y = = 1.70x +33.31. x 3 4 5 6 7 8 9 y 28.66 26.45 23.94 22.53 23.12 19.21 17.9 Use the model to estimate the profit in 1964. Round to the nearest cent. The estimated profit in 1964 is $ You run a regression analysis on a bivariate set of data n = 78). You obtain the regression equation y = 3.877x 56.977 with a correlation coefficient of r = 0.931 (which is significant at a = 0.01). You want to predict what value (on average) for the explanatory variable will give you a value of 60 on the response variable. - What is the predicted explanatory value? X = (Report answer accurate to one decimal place.)
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Use the model to estimate the profit in 1964 Round to the nearest cent The estimated profit in 1964 ... View the full answer
Related Book For
Applied Regression Analysis and Other Multivariable Methods
ISBN: 978-1285051086
5th edition
Authors: David G. Kleinbaum, Lawrence L. Kupper, Azhar Nizam, Eli S. Rosenberg
Posted Date:
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