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ASSESSMENT for Module 10 I. Test'l'our Understanding: A researcher uses a regression equation to predict borne electric bill, based on borne size [square feet}. The correlation between predicted hills and home size is 0.?0. |llll'hat is the correct interpretation of this nding? Explain your answer. in] 3'01. of the variability in home heating bills can be explained by home size. in: 49% of the variability in home heating bills can be explained by home size. it: For each added square foot of borne size, heating bills increased by 3'0 centavos. :0} For each added square foot of home size, heating bills increased by 49 centavos. 2. Compute and interpret Pearson r for the following grades of 5 students selected at random: English Grade 04 Test the hypothesis that the computed correlation coefcient' :5 significantty different from 0, using a 0.05 level of signicance 3. Given are two sets of data on the number of customers tin hundreds} and sales {in thousands of pesos] for a given period of time culled from ten eateries. Find the equation of the regression line which can predict the amount of sales from the number of customers. Can we conclude that we can use the model to make such a prediction? 4. Visit https//www.worldometers info/coronavirus/? This website gives the data on the COVID-19 victims, recovered and death. Predict the COVID-19 on December 2020 in the Philippines. Hint. Start with March 2020 till this day. For the dependent variable, assign 1 to March, 2 to April, 3 to May, .......9 to November. Get the monthly data. Get the regression equation and regression ine. WPS Office