the graph shows the best - fit regression model for a set of data comparing the number of hours spent hiking…

the graph shows the best - fit regression model for a set of data comparing the number of hours spent hiking and the number of miles traveled in one day. which is most likely true of the data set represented by the regression model on the graph? hiking each point in the data set falls on the regression line. the regression model is an accurate representation of the distance for any number of hours hiked. each point in the data set is near the regression line. the regression model is inaccurate, as it does not begin at (0, 0).

the graph shows the best - fit regression model for a set of data comparing the number of hours spent hiking and the number of miles traveled in one day. which is most likely true of the data set represented by the regression model on the graph? hiking each point in the data set falls on the regression line. the regression model is an accurate representation of the distance for any number of hours hiked. each point in the data set is near the regression line. the regression model is inaccurate, as it does not begin at (0, 0).

Answer

Brief Explanations:

A regression line is a best - fit line. Not all data points fall exactly on it. It gives an approximation. The y - intercept (0.1 in this case) shows that even when hours = 0, there is some non - zero distance value which is possible in real - life scenarios like starting from a non - zero position. The line is meant to represent the general trend and most points are near it.

Answer:

C. Each point in the data set is near the regression line.