1. stata: the following questions use the data set “apples. dta”. this data includes the results of a survey of households about the number of apples they buy in one week, the price per pound of apples in their area, and household characteristics (e. g. education level of the survey respondent, household size, family income in thousands, a) how many households are there in the survey? how many states are represented in the survey? which state has the most households in the survey? b) what is the average number of pounds of apples purchased, price of apples, education level, household size, and family income? c) regress the pounds of apples purchased on the of apples while controlling for whether or not the respondent is male, education level, household size, family income, and age. interpret the coefficient on the price of apples in a sentence. is this coefficient statistically significant at the 95% level? d) what is the average number of pounds of apples purchased by households in florida? in pennsylvania? does this support the idea that there may be fixed differences in apple consumption across states? e) rerun the regression from part c) while controlling for a fixed effect for each state? how does the coefficient on price compare to the coefficient in part c)? is the effect of price on pounds purchased still statistically significant at the 95% level? explain what is achieved by including state fixed effects.