[Q12e: Only answer if you ABSOLUTELY know how to solve AND the answers match up

Question

[Q12e: Only answer if you ABSOLUTELY know how to solve AND the answers match up ((tired of getting wrong replies.) So, please make sure you’re really certain. [It’s appreciated.])

Really Explain EACH STEP, including any formulas you used (& how to use the formula), and explain how to compute with a TI-84 preferably/when possible.]

NO JUST POSTING THE ANSWER WITH NO EXPLANATION/ NO CONVINCING EXPLANATION, I WILL ASSUME IT'S WRONG, AS HAS BEEN THE CASE BEFORE. IF YOU'RE THIS TYPE, MOVE ON.

Question

Question options:

1)

2)

3)

4)

5)

Question

Question options:

1)

2)

3)

4)

5)

1)

All the regression slopes are equal to zero.

2)

All the regression slopes do not equal zero.

3)

At least one of the regression slopes does not equal zero.

4)

We did not find significant evidence to conclude that at least one slope differs from zero.

5)

We do not have the dataset, therefore, we are unable to make a conclusion about the slopes. Predictor Constant distance deliveries Coef -1.303 0.841 0.048 Stdev 6.141 0.013 0.276 t-ratio -0.21 63.7 0.17 0.8355

Explanation / Answer

Question 1

Here we will look into the options and will evaluate.

Option 1/2/3 : All the regression slopes are equal to zero/ All the regression slopes do not equal zero./  At least one of the regression slopes does not equal zero.

So, We will evaluate it form th ANOVA table results.

In anova testing, the hypothesis are.

H0: all regression coefficients including intercept one's are equal to zero.

Ha : At least one of the regression coefficients is not equal to zero.

Here the significance p - vlaue for the ANOVA gives value < 0.0001 that means the regression model is significant at alpha = 0.05

so OPtion (a) is incorrect & Option C is correct. Similarly, Option D would be incorrect as we find the evidence that null hypothesis is incorrect. OPtion E is wrong.

So here only option b is left to decide.

Now we will evalulate p - value for all the coefficient.

FOr intercept : p - value (0.8355) > 0.05 so not significant

for distance : p - vlaue (< 0.00001) < 0.05 so significant

for deliveries : p - value ( 0.8653) > 0.05 so not   significant.

so option b is also wrong as not all the coefficents are slopes do not equal zero.

SO Only OPtion C is correct answer here.

Question 2

Here the question is similar as above.

Here the significance p - value for the ANOVA or the F- test gives value < 0.0001 that means the regression model is significant at alpha = 0.05.

So, here also At least one of the regression slopes does not equal zero. Option C is correct.

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