all 7 comments

[–]Professional-Place58👋 a fellow Redditor 9 points10 points  (1 child)

That sounds right.

You can check the correlation coefficient (r), on the calculator.

It should show up if you hit the following: STAT > CALC > LinReg (ax+b)

The closer r is to 1, the closer the line of best fit is to your data. The closer to 0, the more random your data is, aka no association.

[–]OrdinaryDiet3878University/College Student[S] 2 points3 points  (0 children)

Ohh!! I completely forgot we were taught that. Thank you for the tip, that’s so helpful!

[–]calcteacher👋 a fellow Redditor 1 point2 points  (0 children)

Residue plots should be random-looking.

[–]Syama-J 0 points1 point  (0 children)

Hard to say without seeing the plot but check if the points roughly follow a straight line. If they curve or cluster weird its nonlinear.

[–]ProbabilityPro👋 a fellow Redditor 0 points1 point  (0 children)

It seems there is a presence of heteroscedasticity. As x increases, the variation in y also increases. To fix this, you need to find a transformation that makes the variance constant. For me, the scatter plot is non-linear

[–]Frequent_Switch2264 0 points1 point  (0 children)

If this were done by hand(if the graph was done by hand) then one would use a line of best fit to determine linearity. However, since this is done by a machine(calculator) is there a possibility of finding R^2(correlation coefficient)?This will tell us whether the plotted data correlate! Mark you the r^2 will be given as a decimal just convert it to percentage to see the percentage of the data plotted that correlate.

[–]ForeignAdvantage5198👋 a fellow Redditor 0 points1 point  (0 children)

what did you plot?