# Best Recent Content

• ### A regression problem

my data is
x y
8.84 -7.57
2.88 3.15
5.17 -2.42
6.07 -2.20
5.03 -9.25
2.17 -3.43
0.48 -8.00
12.06 -3.66
1.89 -6.66
17.97 -2.11
5.16 1.33
17.22 8.06
6.65 5.07
15.30 -3.03
9.90 6.74
8.40 2.64
20.54 9.72
25.74 11.67
13.61 -5.94
17.91 7.08
21.50 12.48
21.47 1.52
30.74 6.97
26.06 2.35
20.01 5.48
30.30 18.46
27.49 16.81
24.66 -0.14
27.86 13.90
27.67 4.20

The forumla for my regression line is:
y= 0.53964x+-5.51398

The value for Y is: 5.267

The correlation is :
0.6983

https://www.desmos.com/calculator

• ### A regression problem

My formula for the regression line is Y= -4.622x-3.66
The y-value is x=20 is y=-96.1
My correlation is -0.9936
My graph looks like:
https://www.desmos.com/calculator/pgujiatp0v

• ### A regression problem

My data is:

x y
8.67 -10.97
2.77 8.44
6.23 -4.10
0.10 12.62
12.58 -10.39
6.82 -6.25
0.85 8.56
14.10 -21.29
4.11 -7.17
13.63 -22.24
11.61 -11.49
8.43 -7.03

The formula for my regression line is:
y=-2.11995x+9.93943

The y-value for x=20 is y=-32.459

My correlation is: 0.8721

• ### A regression problem

My data Is:

x y
4.06 -17.24
8.59 -27.01
8.76 -37.47
-2.80 -9.79
12.32 -43.23
3.35 -19.15
5.76 -16.50
1.54 -11.62
8.90 -30.16
17.53 -52.08
18.33 -48.86
17.51 -52.24
9.18 -31.97
14.33 -44.10
10.06 -30.43
11.81 -43.60
18.18 -53.09
20.64 -63.05
22.19 -53.85
14.91 -37.78
19.74 -55.16
22.54 -60.55
17.21 -46.00

The formula for my regression line is:
y=-2.20323 - 11.2088

At an X-Value of 20, the Y-Value would be: -55.2734244841

The correlation: r =-0.9655

https://www.desmos.com/calculator/m9eoenysuo

• ### A regression problem

My data set is:

x y
-4.49 26.80
8.97 -36.03
10.91 -51.42
11.52 -47.41
6.40 -22.97
12.87 -54.85
10.25 -47.69
14.13 -55.48
2.59 0.94
17.24 -73.70
12.67 -57.78
12.73 -53.82
5.15 -14.73
7.09 -17.75
17.59 -64.09
18.03 -73.92
23.58 -103.44
17.90 -71.78
23.48 -98.73
17.47 -71.05
21.33 -83.57
22.39 -94.79
29.90 -122.42

The formation for my regression line is

y= -4.4342 + 5.56229

The Y value for x=20 is: −83.1216452504

My correlation is: -0.9908

• ### A regression problem

x y
5.52 -27.06
8.07 -24.71
2.32. 0.60
-3.49 17.09
9.05 -38.66
6.99 -22.87
12.06 -47.75
4.29 -11.90
1.09 4.20
10.79 -43.87
16.74 -57.34
12.65 -46.71
8.05 -36.34
14.27 -52.48
21.61 -88.83
12.25 -40.19
15.38 -66.73
16.33 -59.16
18.34 -69.10
24.24 -97.02

The formula for my regression line is:
m line = -4.14583
b line = 4.44746
-78.469
my correlation is :0.9862

• ### A regression problem

My data is:

x y
-1.14 -8.50
8.20 -28.41
3.40 -9.32
1.04 -8.33
5.00 -15.61
8.53 -38.48
13.93 -60.22
6.53 -34.59
5.41 -18.16
6.60 -23.53
9.37 -29.66
8.98 -40.72
7.35 -23.05

My formula for regression is:
y1 = mx +b
y1=-3.55463(x) -3.29496

x = 20
y =-74.388

My correlation is:
r=-.9109

• ### A regression problem

The formula for my regression line is below:
1. y= -4.00538 + -8.91342
2. y-value if your model predicts if x=20:
y= -89.021
3. My correlation: -0.9873

• ### A regression problem

My data set is:
x y
-6.91 12.95
8.88 -30.89
-0.83 -8.84
3.40 -19.39
11.19 -30.90
2.81 -13.74
13.96 -51.46
14.59 -39.64
14.62 -41.89
8.12 -24.51
17.74 -48.74
17.26 -62.96
15.62 -56.90
7.08 -32.17
16.85 -60.95
10.11 -39.18

My Formula for the regression line is:

y=-2.76505x + -7.62739

What y value if x=20:

-62.9282881614

Correlation:

-0.9604

• ### A regression problem

My data is as follows:
5.74 8.63
-0.74 -2.48
8.07 -2.27
2.62 6.36
-1.89 6.17
2.31 9.21
6.64 -2.04
7.13 0.70
11.77 3.88
17.28 3.66
3.10 0.52
18.57 18.50
11.20 9.86
21.04 12.74
17.76 8.14
11.30 12.48
17.47 18.63

The formula of my regression line is:
y = 0.531948x + 1.64197
At an x value of 20 my y equals 12.21
regression: r= 0.5743 positive correlation