Answer: D) The linear model shows a strong fit to the data
The actual strength of the relationship is unknown unless we have the actual values of each data point (so we can compute the correlation coefficient r), but the residuals are randomly scattered about both above and below the horizontal axis. This means we have a fairly good linear fit. If all of the points were above the line, or all below the line, or all residuals fit a certain pattern (eg: parabola), then it wouldn't be a good linear fit.
Answer:
Step-by-step explanation:
Given: Pauline withdrew $7.50 each day from her saving account.
She withdrew money for 3 days.
As Pauline is withdrawing the money, therefore the amount will be in negative
Now finding the expression for total amount of money withdrew.
Total money withdrew = 
∴ Total money withdrew = 
Hence, the expression to determine the total amount of money she withdrew is 
and Total money she withdrew is -$22.5
It’s to the king and we’re it’s going and most of it has most they need more things about it
A^2 = b^2 + c^2 - 2bc cos a
= 11^2 + 5^2 - 2*5*11 cos 40
= 7.86 to 2 DP's
to find the remaining angles use the sine rule:-
a / sin A = b / sin B so
7.857/ sin 40 = 11 / sin B
sin B = 11 sin40 / 7.857 = 0.8999
<B = 64 degrees
so <C = 180 - 64-40 = 76 degrees
