We have 2 sets of numbers, we found the line of best fit to be: y = 10x+5. Using that information, we made a prediction when x = 12, y = 125. What can w say about the prediction? Check all that apply:...

Extracted text: We have 2 sets of numbers, we found the line of best fit to be: y = 10x+5. Using that information, we made a prediction when x = 12, y = 125. What can w say about the prediction? Check all that apply: Errors in regression prediction are quantified by R squared and the standard error of the estimate. With a value of slope of more than 1, we should always trust the prediction. That prediction is made correctly. This regression is based on a curve. For an increase of 10 on the y, we increase 5 on the x. We shouldn't trust in that prediction because we don't know what the error is.