Aline that is used to represent the linear trend in the data is called the line of best fit. when finding the error of the line of best fit, which statement holds true?

a. if the error is less than one, the line of best fit is the linear equation of the data.
b. the smaller the error, the better the fit.
c. if the error is greater than one, there is no correlation to the line of best fit.
d. the larger the error, the better the fit.

The correct answer is:

B) The smaller the error, the better the fit.

Explanation:

The error tells us how far from the data our regression line is. If the error is large, this means the data is far from our predicted line. If the error is small, this means the data is close to our predicted line. This means the smaller the error, the better the fit of the line to our data.

1; 35 is the ratio

step-by-step explanation:

answer: y=4000x+14000

step-by-step explanation: