The least-square regression line has a slope of:
m=(nΣxy-ΣyΣx)/(nΣx²-ΣxΣx)
and a y-intercept of:
b=(Σy-mΣx)/n
In this case: n=7, Σxy=4899, Σy=391, Σx=85, Σx²=1153 so
m=(7(4899)-391*85)/(7(1153)-85*85))=1058/846
b=(391*846-85*1058)/(7*846)=34408/846
So the line of best fit is:
y=(1058x+34408)/846 and if we approximated this as your answers see to have done....
y=1.25x+40.67
The parabola is going downwards.
The equation for the axis of symmetry is x = -1.
The vertex is at -1,9
The x-intercepts are at -4, 2
4b^-6
When u have a negative exponent, u simply take the reciprocal. So the answer is
4/b^6
Answer:
The Riemann Sum for
with n = 4 using midpoints is about 24.328125.
Step-by-step explanation:
We want to find the Riemann Sum for
with n = 4 using midpoints.
The Midpoint Sum uses the midpoints of a sub-interval:

where 
We know that a = 4, b = 5, n = 4.
Therefore, 
Divide the interval [4, 5] into n = 4 sub-intervals of length 
![\left[4, \frac{17}{4}\right], \left[\frac{17}{4}, \frac{9}{2}\right], \left[\frac{9}{2}, \frac{19}{4}\right], \left[\frac{19}{4}, 5\right]](https://tex.z-dn.net/?f=%5Cleft%5B4%2C%20%5Cfrac%7B17%7D%7B4%7D%5Cright%5D%2C%20%5Cleft%5B%5Cfrac%7B17%7D%7B4%7D%2C%20%5Cfrac%7B9%7D%7B2%7D%5Cright%5D%2C%20%5Cleft%5B%5Cfrac%7B9%7D%7B2%7D%2C%20%5Cfrac%7B19%7D%7B4%7D%5Cright%5D%2C%20%5Cleft%5B%5Cfrac%7B19%7D%7B4%7D%2C%205%5Cright%5D)
Now, we just evaluate the function at the midpoints:




Finally, use the Midpoint Sum formula

This is the sketch of the function and the approximating rectangles.