Questions: a. Using the pairs of values for all 10 points, find the equation of the regression line. b. After removing the point with coordinates (8,3), use the pairs of values for the remaining 9 points and find the equation of the regression line. c. Compare the results from parts (a) and (b). a. What is the equation of the regression line for all 10 points? ŷ = + × (Round to three decimal places as needed)

a. Using the pairs of values for all 10 points, find the equation of the regression line.
b. After removing the point with coordinates (8,3), use the pairs of values for the remaining 9 points and find the equation of the regression line.
c. Compare the results from parts (a) and (b).
a. What is the equation of the regression line for all 10 points?
ŷ = + × (Round to three decimal places as needed)
Transcript text: a. Using the pairs of values for all 10 points, find the equation of the regression line. b. After removing the point with coordinates (8,3), use the pairs of values for the remaining 9 points and find the equation of the regression line. c. Compare the results from parts (a) and (b). a. What is the equation of the regression line for all 10 points? $\hat{y}=\square+\square \times$ (Round to three decimal places as needed)
failed

Solution

failed
failed

Solution Steps

Step 1: Identify the Coordinates of the Points

The given graph has 10 points. The coordinates of these points are: (1, 6), (2, 6), (3, 6), (4, 6), (5, 6), (6, 6), (7, 6), (8, 6), (9, 6), (8, 3).

Step 2: Calculate the Mean of X and Y

Calculate the mean of the x-coordinates and y-coordinates. \[ \bar{x} = \frac{1+2+3+4+5+6+7+8+9+8}{10} = \frac{53}{10} = 5.3 \] \[ \bar{y} = \frac{6+6+6+6+6+6+6+6+6+3}{10} = \frac{57}{10} = 5.7 \]

Step 3: Calculate the Slope (b) of the Regression Line

Use the formula for the slope \( b \): \[ b = \frac{\sum{(x_i - \bar{x})(y_i - \bar{y})}}{\sum{(x_i - \bar{x})^2}} \] Calculate the numerator: \[ \sum{(x_i - \bar{x})(y_i - \bar{y})} = (1-5.3)(6-5.7) + (2-5.3)(6-5.7) + \ldots + (8-5.3)(3-5.7) \] \[ = (-4.3)(0.3) + (-3.3)(0.3) + (-2.3)(0.3) + (-1.3)(0.3) + (-0.3)(0.3) + (0.7)(0.3) + (1.7)(0.3) + (2.7)(0.3) + (3.7)(0.3) + (2.7)(-2.7) \] \[ = -1.29 - 0.99 - 0.69 - 0.39 - 0.09 + 0.21 + 0.51 + 0.81 + 1.11 - 7.29 \] \[ = -7.1 \] Calculate the denominator: \[ \sum{(x_i - \bar{x})^2} = (1-5.3)^2 + (2-5.3)^2 + \ldots + (8-5.3)^2 \] \[ = 18.49 + 10.89 + 5.29 + 1.69 + 0.09 + 0.49 + 2.89 + 7.29 + 13.69 + 7.29 \] \[ = 68.1 \] \[ b = \frac{-7.1}{68.1} = -0.104 \]

Step 4: Calculate the Intercept (a) of the Regression Line

Use the formula for the intercept \( a \): \[ a = \bar{y} - b\bar{x} \] \[ a = 5.7 - (-0.104 \times 5.3) \] \[ a = 5.7 + 0.5512 = 6.2512 \]

Final Answer

The equation of the regression line for all 10 points is: \[ y = 6.251 + (-0.104)x \]

Was this solution helpful?
failed
Unhelpful
failed
Helpful