Thank you!

The data at right give information about a sample of 9 oak trees in California. We wish to predict the acorn size from the range of the tree and the height of the tree. Source 35 df MS F-value p-value Regression 23.83 2 11.918 0.054 Error 14.42 6 Total 38.26 8 Term Coeff SE Coef T-value p-Value Constant -0.6220 1.3392 -0.464 0.659 Range 0.0035 0.0029 1.194 0.277 Tree_Ht 0.0914 0.0907 1.008 0.352 a) ( 1) Note that the output is missing the value of MSE. Calculate this missing value. Acorn_size Range Tree_Height 4.1 559 18 L6 433 6 2 259 17 5.5 1061 20 59 870 30 2.6 803 23 6 826 26 1 699 21 04 223 1 b) (4) Note that the output is also missing the value of F'value. Calculate this missing value and perform the global test of Hoij=0 for all j=1,2 against HAIBjO for some j at (1:005. Record the numerator and denominator degrees of freedom, the critical value (or pvalue), and your conclusion in terms of the usefulness of this model to predict acorn size