Use the table 3. Fit a multiple linear regression model to the patient satisfaction data. Table...

 

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Use the table 3. Fit a multiple linear regression model to the patient satisfaction data. Table 3 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 17.1 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 1. Calculate R2. Interpret. 2. Calculate the adjusted R². 3. Test whether the model is statistically significant. 4. Test whether each coefficient of the predictor variables is statistically significant. Use the table 3. Fit a multiple linear regression model to the patient satisfaction data. Table 3 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 17.1 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 1. Calculate R2. Interpret. 2. Calculate the adjusted R². 3. Test whether the model is statistically significant. 4. Test whether each coefficient of the predictor variables is statistically significant.

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1 Regression Analysis The multiple linear regression model is used to analyze patient satisfaction data The data is composed of two independent variables Days and Year and one dependent variable Index ... View the full answer