World production of copper, in millions of tons per year, from 1900 to 2000 is given by C = 0.5 ✕ 1.033t,
where t is the time in years since 1900.†
(a)
What production level (in millions of tons) does this model give for the year 2000? (Round your answer to two decimal places.)
million tons
(b)
If this model were extended to 2024, how could you use your knowledge of copper production in 2023 to estimate copper production in 2024?
To estimate copper production in 2024 we would multiply copper production in 202

1. the manager of collins import autos believes the number of cars sold in a day (q) depends on two factors: (1) the number of hours the dealership is open (h) and (2) the number of salespersons working that day (s). after collecting data for two months (53 days), the manager estimates the following log-linear model: q 4 equation 1 a. explain, how to transform the log-linear model into linear form that can be estimated using multiple regression analysis. the computer output for the multiple regression analysis is shown below: q4 table b. how do you interpret coefficients b and c? if the dealership increases the number of salespersons by 20%, what will be the percentage increase in daily sales? c. test the overall model for statistical significance at the 5% significance level. d. what percent of the total variation in daily auto sales is explained by this equation? what could you suggest to increase this percentage? e. test the intercept for statistical significance at the 5% level of significance. if h and s both equal 0, are sales expected to be 0? explain why or why not? f. test the estimated coefficient b for statistical significance. if the dealership decreases its hours of operation by 10%, what is the expected impact on daily sales?