Financial Risk Manager Part 1

Financial Risk Manager Part 1

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A linear regression model gave the following results: Syy=10.6; Sxx=12.0; Sxy=8.0; n=18S_{yy} = 10.6; \ S_{xx} = 12.0; \ S_{xy} = 8.0; \ n = 18

Test (at 1% significance) whether β\beta is significantly different from zero, given that its standard error = 0.16 and give the value of the test statistic and the conclusion._

TTanishq



Explanation:

Explanation

To test whether the regression coefficient β is significantly different from zero, we use a t-test:

Given:

  • S_xx = 12.0
  • S_xy = 8.0
  • n = 18
  • Standard error of β = 0.16

Step 1: Calculate the slope coefficient β β=SxySxx=8.012.0=0.6667\beta = \frac{S_{xy}}{S_{xx}} = \frac{8.0}{12.0} = 0.6667

Step 2: Calculate the test statistic t=β−0SE(β)=0.66670.16=4.169t = \frac{\beta - 0}{SE(\beta)} = \frac{0.6667}{0.16} = 4.169

Step 3: Determine critical value For a two-tailed test at 1% significance level with n-2 = 16 degrees of freedom:

  • t_critical ≈ 2.921

Step 4: Make conclusion Since |t| = 4.169 > 2.921, we reject the null hypothesis H₀: β = 0.

Conclusion: β is significantly different from zero at the 1% significance level.

The correct answer is D: 4.169, β is significantly different from zero._

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