17.6 Use least-squares regression to fit a straight line to x 1 2 34567 8 9 y 1 1.5 2 3 4 5 8 10 13 (a) Along with the slope and intercept, compute the standard error of the estimate and the correlation coefficient. Plot the data and the straight line. Assess the fit. (b) Recompute (a), but use polynomial regression to fit a parabola to the data. Compare the results with those of (a).

at first, in 1635, the evening meetings had been just for women . .

what relationship between ideas is shown in the text above?

question 1 options:

location of events

similarity of events

timing of events

examples of an idea

step-by-step explanation:

a is the right answer

24

step-by-step explanation:

the graph shows 30% of students walk. 80 students were questioned, so the number that said they walk is

30% × 80 = 0.30 × 80 = 24

the formula of a slope:

we have the points (-2, 7) and (2, 3). substitute: