What is the quadratic regression equation that fits these data


Asked by admin @ in Mathematics viewed by 355 People


What is the quadratic regression equation that fits these data?

A. y = -2.04x2 +1.46x + 13.92
B. y= -0.70x2 +2.37x + 11.96
c. y = 14.77(0.89)
D. y = -1.04x2+3.04x + 9.68

Answered by admin @



Answer:

B)-0.70x^2+2.37x+11.96

Step-by-step explanation:

No. of second                       Height

0                                               12

1                                               13

2                                               15

3                                               13

4                                               9

5                                               7

Quadratic Regression Equation:  y = a + b x + c x^2

c = \frac{ [ \sum x^2 y * \sum xx ] - [\sum xy \cdot \sum xx^2 ] } { [ \sum xx \cdot \sum x^2 x^2] - [\sum xx^2 ]^2 }

b =\frac{ [ \sum xy \cdot \sum x^2 x^2 ] - [\sum x^2y \cdot \sum xx^2 ] } { [ \sum xx \cdot \sum x^2 x^2] - [\sum xx^2 ]^2 }

a = [ \sum y / n ] - { b \cdot [ \sum x / n ] } - { a \cdot [ \sum x^2 / n ] }


Where ,

\sum x x = [ \sum x^2 ] - [ ( \sum x )^2 / n ]\\\\\sum x y = [ \sum x y ] - [ ( \sum x \cdot \sum y ) / n ]\\\\\sum x x^2 = [ \sum x^3 ] - [ ( \sum x^ 2 \cdot \sum x ) / n ]\\\\\sum x^2 y = [ \sum x^2 y] - [ ( \sum x^2 \cdot \sum y ) / n ]\\\\\sum x^2 x^2 = [ \sum x^4 ] - [ ( \sum x^2 )^2 / n ]

Using these formulas the required equation is :-0.696 X^2 +2.368 X +11.964

So, option B is true

B)-0.70x^2+2.37x+11.96


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