The <u>correct answer</u> is:
<span>c) Each point in the data set is near the regression line.
Explanation:
A best fit regression line is the line that most closely approximates the data. This means that the line must be near most of, if not all, of the points of the data set.
If this truly is the line of best fit, the points of the data will be near the line.</span>
Answer:
whats this homework called and ill help u
Step-by-step explanation:
It's MCCCXLIX. I hope this helps ^-^
a. To find the least squares regression equation for a group of (x,y) points:
Step 1: For each point(x,y), we need to calculate x² and xy first.
Step 2: Sum all x, y, x² and xy, which gives us Σx, Σy, Σx² and Σxy
Step 3: Calculate Slope m: m = (NΣxy − Σx Σy)/ N(Σx²) − (Σx)² , here N is the number of data.
Step 4: Calculate Intercept b: b = Σy − m(Σx)/ N
Step 5: Assemble the equation as y= mx+b
Here, we have ∑x = 120, ∑y= 1379, ∑x²= 919.5, ∑xy= 10466 and N= 16
So, m= (NΣxy − Σx Σy)/ N(Σx²) − (Σx)²
= 
= 
= 
= 6.33
and b = Σy − m(Σx)/ N
= 
= 
= 
= 38.71
So, the least squares regression equation is : y= mx+b ⇒ y= 6.33x +38.71
b. When x= 8, then y= (6.33×8)+38.71 = 50.64 + 38.71 =89.35
The approximate test score of a student who sleeps an average of 8 h a night is 89.35%
Answer:
simplified = 8x - 8
Step-by-step explanation:
trust me :)