Performance Tasks PT 1 Regression Analysis Table 3 gives the data. Do the following while fitting...

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Performance Tasks PT 1 Regression Analysis Table 3 gives the data. Do the following while fitting a multiple linear regression model to the patient satisfaction data. 1. Calculate R^2. Interpret. 2. Calculate the adjusted R^2. 3. Test whether the model is statistically significant. 4. Test whether each coefficient of the predictor variables is statistically significant. Table 3 Days that Ozone Levels Exceed 20 ppm and Seasonal Meteorological Index Year 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 Days 91 105 106 108 88 91 58 82 81 65 61 48 61 43 33 36 Index 16.7 17. 18.2 18.1 17.2 18.2 16 17.2 18 17.2 16.9 17.1 18.2 17.3 17.5 16.6 Performance Tasks PT 1 Regression Analysis Table 3 gives the data. Do the following while fitting a multiple linear regression model to the patient satisfaction data. 1. Calculate R^2. Interpret. 2. Calculate the adjusted R^2. 3. Test whether the model is statistically significant. 4. Test whether each coefficient of the predictor variables is statistically significant. Table 3 Days that Ozone Levels Exceed 20 ppm and Seasonal Meteorological Index Year 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 Days 91 105 106 108 88 91 58 82 81 65 61 48 61 43 33 36 Index 16.7 17. 18.2 18.1 17.2 18.2 16 17.2 18 17.2 16.9 17.1 18.2 17.3 17.5 16.6

Answer rating: 100% (QA)

Answer 1 Calculate R2 R2 is a measure of the proportion of the variability in a dependent variable patient satisfaction that is explained by the independent variables days that ozone levels exceed 20 ... View the full answer