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Find the line of regression of y on x for the following data: x 41 82 62 37 58 96 127 74 123 100?
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Find the line of regression of y on x for the following data: x 41 82 ...
Data:

  • x: 41, 82, 62, 37, 58, 96, 127, 74, 123, 100

  • y: (unknown)



Explanation:

  • In order to find the line of regression of y on x, we first need to calculate the mean of x and y, as well as the sum of squares of both x and y.

  • Using these values, we can then calculate the slope and intercept of the regression line formula.

  • The formula for the line of regression of y on x is y = a + bx, where a is the intercept and b is the slope.

  • The slope of the regression line (b) can be calculated as b = Σ[(xi - x̄)(yi - ȳ)] / Σ[(xi - x̄)²].

  • The intercept of the regression line (a) can be calculated as a = ȳ - b(x̄).



Calculations:

  • Mean of x (x̄) = (41+82+62+37+58+96+127+74+123+100) / 10 = 79.2

  • Sum of squares of x (Σx²) = 580,422

  • Mean of y (ȳ) = (unknown)

  • Sum of squares of y (Σy²) = (unknown)

  • Σ[(xi - x̄)(yi - ȳ)] = (unknown)



Solution:

  • Since we do not have the values of y, we cannot calculate the line of regression of y on x.

  • Therefore, we need to assume or be given the values of y in order to proceed with the calculations.

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Find the line of regression of y on x for the following data: x 41 82 62 37 58 96 127 74 123 100?
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