This is on forecasting. Please provide a detailed approach and I would surely give a feedback that you definitely deserve.

PROBLEH 2: A3300MTIVE FORECASTING A materials scientist eludes the heat that is generated in cement mixtures. The scientist hypothesizes the amount of tetracalcium alumlnoferrite {TCAF} to influence the heat generation: Using 10 mservations. he noted the heat generated (in Btu) and the amount of TCAF (in lbs} per cement mixture. The data is shown in the table below. Table 3. Data on Cement Mixture Observations Observation Heat Generated TGAF (lbs) 1 ?B.5 B 2 "(4.3 15 3 104.3 8 4 87.6 8 5 95.9 6 6 109.2 9 7 102.7 17 B 7'25 22 9 93.1 13 10 1 1 5.9 4 1. (6 points) Using linear regression. determine the regression equation for the experiment. Make sure to show the computation table and round oft your answers in 1 decimal place. 2. (4 points) Using the coefficients ot correlation and determination. determine if tetracalcium aluminoferrite is a good predictor {has a very strong linear relationship] of heat generation in cement mixtures. Present your answers in 2 decimal places and provide a brief interpretation of the values and a discussion of your