The table below shows the average body weight 'W' and food consumption 'F'
W- 5.1 4.6 5.1. 4.8 4.4 5.9 4.7 5.1
F- 87.1|93.1|89.8|91.4|95.5|92.1|95.5|99.3
W- 5.2 4.9
F- 93.4|94.4
1. Plot the scatter diagram for the data
2. Fit the least squares regression equation of W on F.
3. Using the fitted regression equation, estimate the average body weights 'W' given that food 'F' is 6.0
4. Compute the Spearman Rank Correlation Coefficient and comment on your results.
1.
2.
3. Given
4. Rank the two data sets. Ranking is achieved by giving the ranking '1' to the biggest number in a column, '2' to the second biggest value and so on. The smallest value in the column will get the lowest ranking. This should be done for both sets of measurements.
Or
Negative correlation. The correlation is too weak to be thought significant.
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