Question

In: Statistics and Probability

Please give a detailed explanation, not just the answer. Thanks in advance! Use the data in...

Please give a detailed explanation, not just the answer. Thanks in advance!

Use the data in the given table to fill in the missing coefficients. Round your answers to 3 decimal places.

x y
2 13.524
7.5 19.125
13 23.463
18.5 28.937
24 33.6
29.5 37.779
35 43.065



y=_____x +_______

Solutions

Expert Solution

Solution =

The regression is a way to model the relationship between two variables. ... The equation has the form Y= a + bX, where Y is the dependent variable (that's the variable that goes on the Y axis), X is the independent variable (i.e. it is plotted on the X axis), b is the slope of the line and a is the y-intercept.

X Y XY X^2 Y^2
2 13.524 27.048 4 182.898576
7.5 19.125 143.4375 56.25 365.765625
13 23.463 305.019 169 550.512369
18.5 28.937 535.3345 342.25 837.349969
24 33.6 806.4 576 1128.96
29.5 37.779 1114.481 870.25 1427.25284
35 43.065 1507.275 1225 1854.59423

  

n 7
sum(XY) 4438.99
sum(X) 129.50
sum(Y) 199.49
sum(X^2) 3242.75
sum(Y^2) 6347.33
Numerator 5238.62
Denominator 5241.59
r 0.9994
r square 0.9989
Xbar(mean) 18.5000
Ybar(mean) 28.4990
SD(X) 9.3930
SD(Y) 8.3112
b 0.8836
a 12.1532

The regression equation,

= bx + a

= (0.884)x + 12.153

Answer :  

= (0.884)x + 12.153


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