Answer:
likely .
Step-by-step explanation:
Answer:
y=1.003009+0.003453x
or
GPA=1.003009+0.003453(SAT Score)
Step-by-step explanation:
The least square regression equation can be written as
y=a+bx
In the given scenario y is the GPA and x is SAT score because GPA depends on SAT score.
SAT score (X) GPA (Y) X² XY
421 2.93 177241 1233.53
375 2.87 140625 1076.25
585 3.03 342225 1772.55
693 3.42 480249 2370.06
608 3.66 369664 2225.28
392 2.91 153664 1140.72
418 2.12 174724 886.16
484 2.5 234256 1210
725 3.24 525625 2349
506 1.97 256036 996.82
613 2.73 375769 1673.49
706 3.88 498436 2739.28
366 1.58 133956 578.28
sumx=6892
sumy=36.84
sumx²=3862470
sumxy=20251.42
n=13

b=9367.18/2712446
b=0.003453
a=ybar-b(xbar)
ybar=sum(y)/n
ybar=2.833846
xbar=sum(x)/n
xbar=530.1538
a=2.833846-0.003453*(530.1538)
a=1.003009
Thus, required regression equation is
y=1.003009+0.003453x.
The least-squares regression equation that shows the best relationship between GPA and the SAT score is
GPA=1.003009+0.003453(SAT Score)
-2 because 1st term is 13, take away 5 2nd term is 8 take away 5 3rd term is 3 and take away 5 again 4th term is -2
Answer:
B
Step-by-step explanation:
To find the constant of proportionality between y and x, divide
for all given values of the chart. If you get the same number, then that is the constant. If they are all different numbers, then one does not exist for that function.
Using the method above, you should get:
Chart A = 2/5
Chart B = 1/5 (Correct Answer!)
Chart C = N/A
Hope this helps!
Answer:
i need mesurements
Step-by-step explanation: