This question is basically asking you what number was this originally until we timesed it by 100. For the first column take away two zeros or for answers like 560 and 4830 imagine there is a decimal point at the end and move it two spaces forward so it would now be 5.6 and 48.3
For the second column add two zeros at the end instead.
For the questions at the bottom basically for all the questions except the bottom one how many numbers follow the first number.
For example.
96,629 = 1
100
Because three numbers follow the first 6.
Hope this makes sense because I don’t know if it does.
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)
It would be 49,009 because LA of a cone is height (50) times the radius (120) and that equals about 49,009.
Answer:
Vertical shift down 4 units
Step-by-step explanation:
Vertical shift down 4 units
Answer:
touchdown babay
Step-by-step explanation:
score touchdowns