{"media":{"type":{"params":{"contentName":"Image"},"library":"H5P.Image 1.1","subContentId":"0f108da1-42ca-490d-8469-e8cbe9748a18","metadata":{"contentType":"Image","license":"U","title":"Untitled Image"}},"disableImageZooming":false},"answers":[{"correct":false,"tipsAndFeedback":{"tip":"","chosenFeedback":"","notChosenFeedback":""},"text":"

p-value of the coefficients<\/div>\n"},{"correct":false,"tipsAndFeedback":{"tip":"","chosenFeedback":"","notChosenFeedback":""},"text":"

R-squared value<\/div>\n"},{"correct":true,"tipsAndFeedback":{"chosenFeedback":"

\nIn order to determine the overall model fit, the F-statistic is used. The basic idea behind the F-test is that it is a relative comparison between the model that you've built and the model without any of the coefficients except for \u03b20 . If the value of the F-statistic is high, it would mean that the Prob(F) would be low and hence, you can conclude that the model is significant. On the other hand, if the value of F-statistic is low, it might lead to the value of Prob(F) being higher than the significance level (taken 0.05, usually) which in turn would conclude that the overall model fit is insignificant and the intercept-only model can provide a better fit.\n<\/div>\n","tip":"","notChosenFeedback":""},"text":"

F-statistic<\/div>\n"},{"correct":false,"tipsAndFeedback":{"tip":"","chosenFeedback":"","notChosenFeedback":""},"text":"

t-value of the coefficients<\/div>\n"}],"overallFeedback":[{"from":0,"to":100}],"behaviour":{"enableRetry":true,"enableSolutionsButton":true,"enableCheckButton":true,"type":"auto","singlePoint":false,"randomAnswers":true,"showSolutionsRequiresInput":true,"confirmCheckDialog":false,"confirmRetryDialog":false,"autoCheck":false,"passPercentage":100,"showScorePoints":true},"UI":{"checkAnswerButton":"Check","showSolutionButton":"Show solution","tryAgainButton":"Retry","tipsLabel":"Show tip","scoreBarLabel":"You got :num out of :total points","tipAvailable":"Tip available","feedbackAvailable":"Feedback available","readFeedback":"Read feedback","wrongAnswer":"Wrong answer","correctAnswer":"Correct answer","shouldCheck":"Should have been checked","shouldNotCheck":"Should not have been checked","noInput":"Please answer before viewing the solution","a11yCheck":"Check the answers. The responses will be marked as correct, incorrect, or unanswered.","a11yShowSolution":"Show the solution. The task will be marked with its correct solution.","a11yRetry":"Retry the task. Reset all responses and start the task over again."},"confirmCheck":{"header":"Finish ?","body":"Are you sure you wish to finish ?","cancelLabel":"Cancel","confirmLabel":"Finish"},"confirmRetry":{"header":"Retry ?","body":"Are you sure you wish to retry ?","cancelLabel":"Cancel","confirmLabel":"Confirm"},"question":"

.<\/p>\n"}

Significance of Fit: Which of the following parameters is used to determine the overall significance of a model fit?

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