In the project you are supposed to do the following:1) develop a linear multi-regression model to analyze the following data in RLongley's Economic Regression Data Description: Predict number of people employed from economic variables Type: Regression Dimensions: 16 instances, 7 attributes Inputs: Numeric Output: Numeric# Longley's Economic Regression Datadata(longley)dim(longley)[1] 16 7head(longley) [login to view URL]<dbl>GNP<dbl>Unemployed<dbl>[login to view URL]<dbl>Population<dbl>Year<int>Employed<dbl>1947 83.0 234.289 235.6 159.0 107.608 1947 60.3231948 88.5 259.426 232.5 145.6 108.632 1948 61.1221949 88.2 258.054 368.2 161.6 109.773 1949 60.1711950 89.5 284.599 335.1 165.0 110.929 1950 61.1871951 96.2 328.975 209.9 309.9 112.075 1951 63.2211952 98.1 346.999 193.2 359.4 113.270 1952 63.6396 rows2) You must implement the model and its regression analysis of the given data as jupyter notebook in R (you can use the azure notebook server as explained in class)3) You must explain all the steps you have followed and all the outputs obtained
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