Consider the scatterplot of sample data for ten individuals and simple regression analysis performed in Q1. Using the correct degrees of freedom you obtained in Q2, you determine that the critical value in the F-distribution is 2.54 (to two decimal places). Given your observed F-statistic is 1.11, what can you conclude?

Question

BlackTom AI · Accepted Answer

To start, we restate the key setup: the critical F value is 2.54 (two decimals) and the observed F-statistic from the regression is 1.11. The core question is whether this observed statistic provides evidence that X is a significant predictor of Y.
Option under consideration: "There is not sufficient evidence that X is a significant predictor of Y." This statement aligns with the standard decision rule in F-tests for regression: if the observed F is less than the critical F, we fail to reject the null hypothesis that the slope coefficient(s) associated with X equal zero, meaning X does not provide statistically significant predictive power at the chosen alpha level.
Now, breaking down why the option is correct: since 1.11 < 2.54, the test statistic does not exceed the threshold needed for significance. This implies the p-value is greater than the significance level corresponding to the 2.54 critical value, so we cannot claim that X is a significant predictor.
As for potential misconceptions: some might think any nonzero F suggests some effect, but the F-distribution critical value encodes both sample size and model complexity; here the observed value fails to reach that threshold, so the evidence is not strong enough to claim significance.
If one were to incorrectly interpret the result as showing a strong relationship, that would be misguided because a lower F relative to the critical value indicates insufficient evidence against the null hypothesis. Conversely, claiming strong significance would require an observed F at or above 2.54, which we do not have.
In summary, given F = 1.11 and the critical value 2.54, the conclusion is that there is not sufficient evidence to declare X a significant predictor of Y, matching the option presented.

Similar Questions

In the multiple regression of the previous question, the F-statistic for the overall significance of the model has an

In a regression model involving 30 observations, the following estimated regression equation was obtained: For this model SSR = 700 and SSE = 100. The critical F value at 95% confidence is

In a regression model involving 30 observations, the following estimated regression equation was obtained: For this model SSR = 700 and SSE = 100. The computed F statistic for testing the significance of the above model is

________________ is used to test the hypothesis that the values of the regression parameters B1, B2, ... Bq are all zero.

Which answer choice explains why furanoses and pyranoses can be reduced by sodium borohydride despite having no carbonyl functional groups.

Which of the following statements describes a glycoside?

Which of the following structures represents chitin?

In solution, glucose exists in

More Practical Tools for Students Powered by AI Study Helper

Homework AI Solver

Stylized AI Paper Writer

Plagiarism Checker Assistant

Citation AI Academic Writing Tool

In-Class Translation Assistant

AI Note Generator

AI Quiz Answers

Past Exam Questions from University Test Bank

Smart Practice Assistant

Adaptive Practice

Making Your Study Simpler