Solved Problems

Problem 1: Simple Linear Regression (Basic)

Find the regression equation (y^=b0+b1x\hat{y} = b_0 + b_1 x) for the following data on traffic volume (XX, in 1000s) and accident rate (YY):
  • (10, 2)
  • (20, 5)
  • (30, 8)
  • (40, 10)
  • (50, 14)

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Problem 2: Correlation Coefficient (Intermediate)

Using the data from Problem 1 on traffic volume (XX) and accident rate (YY), calculate the Pearson correlation coefficient (rr) to determine the strength and direction of the linear relationship. Additional sum needed: y2=22+52+82+102+142=389\sum y^2 = 2^2 + 5^2 + 8^2 + 10^2 + 14^2 = 389.

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Problem 3: Multiple Linear Regression Conceptual Interpretation (Advanced)

A structural engineer uses multiple linear regression to model the deflection of a beam (YY, in mm) based on two independent variables: the applied load (X1X_1, in kN) and the length of the beam (X2X_2, in meters). The resulting model is:
Y^=0.5+2.1X1+3.4X2\hat{Y} = 0.5 + 2.1 X_1 + 3.4 X_2
Additionally, the R2R^2 (coefficient of determination) for the model is 0.850.85. Interpret the coefficients and the R2R^2 value.

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