Asked by Alejandra Veloz on May 16, 2024

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In a simple linear regression problem, the following statistics are calculated from a sample of 10 observations: In a simple linear regression problem, the following statistics are calculated from a sample of 10 observations:   . The least squares estimates of the slope and y-intercept are respectively: A)  1.5 and 0.5 B)  2.5 and 1.5 C)  1.5 and 2.5 D)  2.5 and -5.0 E)  none of these . The least squares estimates of the slope and y-intercept are respectively:

A) 1.5 and 0.5
B) 2.5 and 1.5
C) 1.5 and 2.5
D) 2.5 and -5.0
E) none of these

Least Squares Estimates

A statistical method used to determine the line of best fit by minimizing the sum of squares of the errors between observed and predicted values.

Slope

In mathematics and statistics, it represents the rate at which a line inclines or declines, showing the change in the dependent variable for a unit change in the independent variable.

Y-Intercept

The location at which a line or curve crosses the y-axis in a coordinate system.

  • Discern the functional role of the slope and intercept in regression equations.
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Akash YadavMay 22, 2024
Final Answer :
D
Explanation :
Using the formula for the least squares estimates of the slope and y-intercept, we have:
slope = (nΣ(XY) - ΣXΣY) / (nΣ(X^2) - (ΣX)^2)
y-intercept = (ΣY - slopeΣX) / n

Plugging in the values from the sample, we get:
slope = (10(155) - (65)(33)) / (10(81.4) - (65)^2) = 2.5
y-intercept = (33 - (2.5)(65)) / 10 = -5

Therefore, the least squares estimates of the slope and y-intercept are 2.5 and -5, respectively, which corresponds to answer choice D.