Use the R script to answer the following questions: (write down your answers in the R script...

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Use the R script toanswer the following questions: (write down your answers in the Rscript with ##)
(1). ImportFarmSize.csv to Rstudio. Use the correct function to build a linearregression model predicting the average size of a farm by thenumber of farms; Give the model a name (e.g. FarmSize_Model). Callthe model name to inspect the intercept and slope of the regressionmodel. Verify the answers in your manual calculation.
(2). Use the correctfunction to generate the residuals for the 12 examples in thedataset from the model. Create a residual plot, with x axis asindependent variable and y axis as residual.
(3). Use the correctfunction to inspect SSE, Se and r². Write down the values for thesemeasures. Verify the answers in your manual calculation.
(4). Use the correctfunction to inspect slope statistic testing result. What is the tvalue for the slope statistic testing? What is the p value? What isthe statistical decision?
Year NumberofFarms AverageSize
1950 5.65 213
1955 4.65 258
1960 3.96 297
1965 3.36 340
1970 2.95 374
1975 2.52 420
1980 2.44 426
1985 2.29 441
1990 2.15 460
1995 2.07 469
2000 2.17 434
2005 2.1 444

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NumberofFarmsc56546539633629525224422921520721721 AverageSizec213 258 297 340 374 420 426441 460 469 434 444FarmSizeModellmAverageSizeNumberofFarms FarmSizeModelCalllmformula AverageSize NumberofFarmsCoefficientsIntercept See Answer

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Year	NumberofFarms	AverageSize
1950	5.65	213
1955	4.65	258
1960	3.96	297
1965	3.36	340
1970	2.95	374
1975	2.52	420
1980	2.44	426
1985	2.29	441
1990	2.15	460
1995	2.07	469
2000	2.17	434
2005	2.1	444