The r-square statistic measures the amount of variation in the dependent variable (Y) that is explained...

Transcribed Image Text:

The r-square statistic measures the amount of variation in the dependent variable (Y) that is explained by the independent variable (X). In this case, the r-square statistic is 0.856, which indicates that 85.6% of the variation in the number of lesions is explained by the age of the patient. The conclusions that can be drawn from this regression analysis are as follows: 1. There is a positive correlation between the age of a patient and the number of lesions they have. 2. As the age of the patient increases, the number of lesions also increases. 3. 85.6% of the variation in the number of lesions is explained by the age of the patient Provide a three-paragraph summary of the findings you learned through the analysis. Provide three data- driven suggestions for further exploration. The r-square statistic measures the amount of variation in the dependent variable (Y) that is explained by the independent variable (X). In this case, the r-square statistic is 0.856, which indicates that 85.6% of the variation in the number of lesions is explained by the age of the patient. The conclusions that can be drawn from this regression analysis are as follows: 1. There is a positive correlation between the age of a patient and the number of lesions they have. 2. As the age of the patient increases, the number of lesions also increases. 3. 85.6% of the variation in the number of lesions is explained by the age of the patient Provide a three-paragraph summary of the findings you learned through the analysis. Provide three data- driven suggestions for further exploration.