Question 3: Solve them Part A Examine the given set of ( x , y ) data points and
ID: 3571524 • Letter: Q
Question
Question 3: Solve them
Part A
Examine the given set of ( x , y ) data points and using linear regression techniques to determine the value of the slope of the line of best fit.
given data:
{ ( 2 , 11 ) , ( 5 , 23 ) , ( 9 , 39 ) }
Examine the given set of ( x , y ) data points and using linear regression techniques to determine the value of the y - intercept of the line of best fit.
given data:
{ ( 2 , 1 ) , ( 5 , ?5 ) , ( 9 , ?13 ) }
Examine the given set of ( x , y ) data points and using linear regression techniques to determine the value of the y - intercept of the line of best fit.
given data:
{ ( ?1 , ?1 ) , ( 4 , ?11 ) , ( 8 , ?19 ) }
Examine the given set of x, y data points and using linear regression techniques to determine the value of the slope of the line of best fit. given data: (2 11), 5, 23) (9, 39 2, O 3.2Explanation / Answer
Please follow the data and description :
For the given points, the regression formula is given as :
Regression Equation(y) = a + bx
Slope(b) = (NXY - (X)(Y)) / (NX2 - (X)2)
Intercept(a) = (Y - b(X)) / N
Where,
x and y are the variables.
b = The slope of the regression line
a = The intercept point of the regression line and the y axis.
N = Number of values or elements
X = First Score
Y = Second Score
XY = Sum of the product of first and Second Scores
X = Sum of First Scores
Y = Sum of Second Scores
X2 = Sum of square First Scores
a)
So for the given points { ( 2 , 11 ) , ( 5 , 23 ) , ( 9 , 39 ) } the slope is calculated as : 4.
So the answer is OPTION B (4).
b)
So for the given points { ( 2 , 1 ) , ( 5 , 5 ) , ( 9 , 13 ) } the y-intercept is calculated as : 5.
So the answer is OPTION D (5).
c)
So for the given points { ( 1 , 1 ) , ( 4 , 11 ) , ( 8 , 19 ) } the y-intercept is calculated as : -3.
So the answer is OPTION A (-3).
Hope this is helpful.
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