You increase studying time by an hour it increases the score by 15 points. We were thinking about when we were looking at the model. The model predicts the score will increase 15 points for each additional If you believe this model someone who doesn't study at all would get close to would get between 35 and 40 points. Students who didn't study at all will have an average score of 15 points. The student who scored zero studied for an average of 15 hours. So let's look at which of these choices actually describe something like that. Or at least that's what we're seeing that's what we're seeing from Every hour, based on this regression, you could, it's not unreasonable to expect 15 points improvement. And then in the verticalĭirection we're going from 45 to 60. We're going from, we're going in the horizontal direction, So, if we start over here and we were to increase by one hour our score should improve by 15. You could say, on average,Īccording to this regression. Is indicative of the trend, and it does look like thatįrom this scatter plot, that implies that, roughly every extra hour that you study is going to improve your score by 15. Interpretation of this slope? Well, if you think this line And before I even read these choices what's the best And so then they fit a line to it and this line has a slope of 15. Who looks like they got like a 94, or a 95 spent over four hours studying. Little bit higher than a 60 spent a little under two hours studying. Some time in between half an hour and an hour studying got a little bit less Plot, this shows that some student who spent So, the line they're talking about is right here. The line fitted to the model, the line fitted to model the data has a slope of 15. Students spent studying and their score on the test. The scatter plot and trend line below show the relationship between how many hours Students that spent studying for the test. Included a survey question asking, how many hours
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