A researcher was interested in examining what factors influenced children's scores in a fitness test. He ran a multiple linear regression, which included four predictors ('hours spent taking part in physical activity per day', 'calories consumed per day', 'BMI', and 'hours spent watching TV per day'). His model had a R²of .665, an adjusted R²of .661, an F-statistic of 112.56 (p 0.00). How would you interpret his findings A)It is not a significant model. B)It is a significant model where the four predictors account for 66% of the variance in the children's scores in the fitness test. C)It is a significant model where the four predictors account for 112% of the variance in the children's scores in the fitness test. D)It is an significant model where the four predictors account for 0.661 of the variance in the children's scores in the fitness test..

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The model is significant with an F-statistic of 112.56 (p<0.001) and explains 66.1% of the variance in the children's scores in the fitness test.

A Researcher Was Interested in Examining What Factors Influenced Children's