Moulding exports 2019. Export of mouldings to major counties contributes toward major revenues in the Malaysian timber sector. The provided data for the year 2019 delivers a linear equation between the revenue (in dollars), and the amount of export (in cubic meters) to 20 major countries by Malaysia is as follows:

Revenue = -3520922.4479 + 4068.9187 Amount Answer the following and use the provided equation to determine whether there is a relationship between the revenue

($) and the amount of export (m3).

a) What is the explanatory variable?

b) What is the response variable?

c) What does the slope mean in this context?

d) What does the y-intercept mean in this context? Is it meaningful?

e) With every extra export of 10 m3, on average how much increase in the revenue would you expect?

f) If an export amount of 15,000 m3 has a revenue of

$60,000,000, would it have done better or worse than predicted?

g) What would the residual of the export amount in part f be?

h) The R2 for this model is about 93%, and the residual standard deviation is about $15,000,000. How useful is this model likely to be for predicting the revenue?