I have one very long homework problem for statistics and I do not know how to tackle it. Please help!

Y=tip X1=check X2= number of Predicted tip residual amount Squared diners residual $7.5 $40 IN 0.5 15 1 2.0 30 3.5 25 9.5 50 2.5 20 NUUP 3.5 35 1.0 10The least-square estimate equation is . = 1.92 + 0.223 x1 {1.1845str2 . The Standard error of 0.223 is 6112146508: 31,1 - The standard error of -0.1845 f5 0.4133: 552 ' Answer the following questions Give an interpretation of the partial regression coefficient ' What does 0.223 means in the context of the problem? Compute the SST and SSE using TI-84 . To compute SSE you need first compute the predicted value for every data . First answer this question: . What is the predicted tip for observation 5: x1=50 and x2=4? . Then the residual for each observation . Finally you add up the 9 squared residuals, which is SSE.Compute the multiple standard error of estimate (see p. 610) and confidence interval . Compute Se for the problem . Compute the 95% confidence interval for three diners and check amount of $40.Compute the R-square and give an interpretation in the context of the problem \"-2 =?? - What does the above value mean in this problem? Please use the language everyone can understand. Perform F-test *- State the null and alternative hvpotheses - Draw an ANDVE table and compute the F value ' State vou conclusion about the effective of the multiple linear regression ' What is the range of the pvalue? Test hypotheses about the two partial regression coefficients - Is bl = 0.223 significcnt from D? - ls b2 = .01345 significant from 0? - State the null and alternative hypotheses clearly. - State you conclusion based on the t-distribution; what is the p-values, respectively