The University's accountant wants to predict the cost (Y) of travel for Lecturers based on the number of days (X) spent

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The University S Accountant Wants To Predict The Cost Y Of Travel For Lecturers Based On The Number Of Days X Spent 1 (24.44 KiB) Viewed 14 times

The University's accountant wants to predict the cost (Y) of travel for Lecturers based on the number of days (X) spent on a research conference trip. Using 22 observations the linear equation y= 40 + 12.c is fitted using Least Squares Linear Regression technique. The R2 value was found to be 0.5. How would you interpret R2? O 25% of changes in the cost of travel for Lecturers is being explained by the number of days spent on a research conference trip. There is a moderate positive relationship between the cost of travel for Lecturers and the number of days spent on a research conference trip. O There is a weak positive relationship between the cost of travel for Lecturers and the number of days spent on a research conference trip. O 50% of changes in the cost of travel for Lecturers is being explained by the number of days spent on a research conference trip.