I am some how confused about the below results.

I would be grateful if you could possibly guide me.

How it is possible that:

a) the null of beta=0 cannot be rejected and meanwhile the null of beta=1 also cannot be rejected?

And what about the the joint hypothesis of Alpha=0 and Beta=1? (it cannot be rejected).

Linear Regression - Estimation by Least Squares

With Heteroscedasticity-Consistent (Eicker-White) Standard Errors

Dependent Variable DEP

Usable Observations 53

Degrees of Freedom 51

Centered R^2 0.0200152

R-Bar^2 0.0007998

Uncentered R^2 0.1113663

Mean of Dependent Variable 0.0371020898

Std Error of Dependent Variable 0.1168258428

Standard Error of Estimate 0.1167791170

Sum of Squared Residuals 0.6955054710

Log Likelihood 39.6316

Durbin-Watson Statistic 2.2798

Variable Coeff Std Error T-Stat Signif

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1. Constant 0.0169966283 0.0214227068 0.79339 0.42754881

2. INDEP 0.6303479148 0.9810692176 0.64251 0.52054135

Test for indep(Beta)=1

Chi-Squared(1)= 0.141967 with Significance Level 0.70633345

Test for constant(Alpha)=0 & indep(Beta)=1

Chi-Squared(2)= 1.137291 or F(2,*)= 0.56865 with Significance Level 0.56629188