A researcher hypothesizes that there is a relationship between exercise amount and academic achievement. After collecting survey data from 500 college seniors, he conducts a linear regression analysis using hours per week of exercise as the predictor and GPA as the outcome. The resulting model is: GPA = 1.9 + 0.2x, where x represents hours per week of exercise. The p-value associated with the regression coefficient (slope) of 0.2 is 0.003. What can this researcher conclude from this analysis? Question 16 options: That there is a statistically significant causal relationship between exercise and GPA. That there is a statistically significant positive association between exercise and GPA. That exercise improves GPA through improved mental function. That other factors associated with exercise, such as diet, are the true drivers of GPA