{"media":{"type":{"params":{"contentName":"Image"},"library":"H5P.Image 1.1","subContentId":"827ff606-74ec-4bbe-8ec6-978ce15c6f12","metadata":{"contentType":"Image","license":"U","title":"Untitled Image"}},"disableImageZooming":false},"answers":[{"correct":false,"tipsAndFeedback":{"tip":"","chosenFeedback":"","notChosenFeedback":""},"text":"

All the variance in the data is being explained by the fitted line.<\/div>\n"},{"correct":false,"tipsAndFeedback":{"tip":"","chosenFeedback":"","notChosenFeedback":""},"text":"

Most of the variance in the data is being explained by the fitted line.<\/div>\n"},{"correct":true,"tipsAndFeedback":{"chosenFeedback":"

\nThe value of R-squared lies between 0 and 1, where 1 implies that the variance in the data is being explained by the model, and 0 implies that none of the variance values is being explained by the model. Obviously, it is very difficult to achieve either of the extreme values.\n<\/div>\n","tip":"","notChosenFeedback":""},"text":"

No variance in the data is being explained by the fitted line.<\/div>\n"},{"correct":false,"tipsAndFeedback":{"tip":"","chosenFeedback":"","notChosenFeedback":""},"text":"

The value of the R-squared cannot be zero.<\/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":"

If this value is found to be 0, what does it imply?<\/p>\n"}

The strength of a linear regression line is determined by the value of the R-squared.

Comments