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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

What is the quadratic regression equation that fits these data A y 204x2 146x 1392 B y 070x2 237x 1196 c y 1477089 D y 104x2304x 968 class=

Respuesta :

Answer:

B)[tex]-0.70x^2+2.37x+11.96[/tex]

Step-by-step explanation:

No. of second                       Height

0                                               12

1                                               13

2                                               15

3                                               13

4                                               9

5                                               7

Quadratic Regression Equation:  [tex]y = a + b x + c x^2[/tex]

[tex]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 }[/tex]

[tex]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 }[/tex]

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

Where ,

[tex]\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 ][/tex]

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

So, option B is true

B)[tex]-0.70x^2+2.37x+11.96[/tex]