Note that the changes in interest rates and house prices are recorded in different units. Interest rates are in percentage point terms meaning that the interest rate going from 1 to 2 would be recorded as a 1pp change. The change in house prices are expressed in per cent terms. If this index goes from 50 to 55 in a given year the dhsprpc will record a value of 10 because this represents a 10 per cent increase. Step 1 Load the data with the read. csv() function. Step 2 Filter your data so that the data frame you analyze consists only of observations for your given year. Use the filter() function for this. Step 3 (Optional) Discard any observations with missing data NA values. For example, if your year was 1994 then the change in interest rates and house price data for Portugal (PRT) are missing. The reason for this is that Portugal only started recording these data in 1994 and thus we cannot subtract the 1993 values to calculate the variables measuring change. Evaluate the claim that average house prices increased in your assigned year subsample. In other words HA:>0. What is the test statistic? Do you reject the null with =0.01 ? Use the t.test () function