we can run the regression analysis in excel by going to data > data analysis tab and selecting regression
The r2 value is 0.7677
this means that the model is able to explain 76.77% varaition in the value of Y due to variation in the values of X
The correlation coefficient is
0.8761
hence this is a positive correlation on the higher side
please note that correlation can take values from -1 to 1 , with values near zero indicating weak correlation , negative values indicate a negative correlation
the residual plot is
looks like some information is still left from the data to be extracted as the residuals form a wavy pattern , ideally we should not be able to see any pattern in the residual graph
There are 15 data points
hence the df is this case is
df = n-2 = 13
now we check the correlation table to check for the critical value
at df = 13 and alpha = 0.05
the value is 0.514 , please see the correlation table for this
as the correlation value is greater than this critical value hence we conclude that the correlation value is signficant
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