Answer:
He washed 4 cars.
Step-by-step explanation:
1. The variable that was unknown x amount of cars washed.
2.The equation I used was 110-50=15x
3. To solve this you subtract the 50$ from 110$ you get sixty dollars you do that to take out what he earned for his allowance. Then your equation is 60=15x so you divide each side by 15 and when you do that x=4
Minimizing the sum of the squared deviations around the line is called Least square estimation.
It is given that the sum of squares is around the line.
Least squares estimations minimize the sum of squared deviations around the estimated regression function. It is between observed data, on the one hand, and their expected values on the other. This is called least squares estimation because it gives the least value for the sum of squared errors. Finding the best estimates of the coefficients is often called “fitting” the model to the data, or sometimes “learning” or “training” the model.
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Well first, you have to know the distance formula. You plug the coordinates into it and you get the answer.

√1² + -7² = d
d = 7.1
1/10 of 1,700,000 km² is 170,000 km² .