Answer:
Step-by-step explanation:
Assuming a total of ten students were asked, 
chose football and 
chose other sports. simplified is , so that's the experimental chance that the next student favors football.
We square the residuals when using the least-squares line method to find the line of best fit because we believe that huge negative residuals (i.e., points well below the line) are just as harmful as large positive residuals (i.e., points that are high above the line).
<h3>What do you mean by Residuals?</h3>
We treat both positive and negative disparities equally by squaring the residual values. We cannot discover a single straight line that concurrently minimizes all residuals. The average (squared) residual value is instead minimized.
We might also take the absolute values of the residuals rather than squaring them. Positive disparities are viewed as just as harmful as negative ones under both strategies.
To know more about the Least-Squares Line method, visit:
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I think it d. I’m not sure I could be wrong
125-95=30
95-64=31
so it would be 125
There was a time that a friend of mine got to a decision because the leader of the group said so (it was a group project). Although it was clear that he did not want to comply to the decision, he made it because it was what the leader said so.
