00:01
Okay, so i see that you need help with this question, and so it says the following.
00:07
Interpret the value of the slope of the regression line in context of this question.
00:10
So, for, so it's going to be 1487 over 1, so that means it's $1 ,487 for each increase of 1 in bmi.
00:41
And then for 2, interpret the value of the intercept, okay? so, the intercept is negative 9 ,399 .7, and that's the starting point.
00:58
And then is the intercept practical in the context of this problem? so, no.
01:05
Find the value of the correlation coefficient, so that's 0 .6501, the square root of that, square root of 0 .6501, and so that equals 0 .806 and 5.
01:25
Interpret the value of the coefficient of determination.
01:28
So, this is a weak positive association.
01:38
And then 6, use the regression equation to predict the dollar amount of claims for a with a bmi of 30 .36.
01:47
So, that's y equals 1487 times 30 .36 minus 9 ,399 .7...
