In a simple linear regression problem, if the correlation coefficient is 0.98, this means that about 96% of the total variation in y can be explained by the regression line. about 98% of the x values are equal. about 96% of the y values are positive. about 96% of the total variation in x can be explained by the regression line. about 98% of the total variation in y can be explained by the regression line.

The % of variation is given by the determination coefficient given by and on this case , so then the % of variation explained by the model is 96.04%.

And the best answer would be:

About 96% of the total variation in y can be explained by the regression line

Step-by-step explanation:

Previous concepts

The correlation coefficient is a "statistical measure that calculates the strength of the relationship between the relative movements of two variables". It's denoted by r and its always between -1 and 1.  

And in order to calculate the correlation coefficient we can use this formula:  

Solution to the problem

The % of variation is given by the determination coefficient given by and on this case , so then the % of variation explained by the model is 96.04%.

And the best answer would be:

About 96% of the total variation in y can be explained by the regression line

i think it's ф or x=6,-6

step-by-step explanation:

-x^2=-36

x^2=-36

ф

or

if you mean by : -(x^2)=-36

it'll be: x^2=36

x=6,x=-6

hope it'll ! have a good day!

you for asking!

the answer is b.)

< 1=< 2