Please answer the following in RStudio

Perform a simple linear regression with prestige score and years of education, and briefly summarize your conclusions (no need to do the 5-step procedure here).Generate a residual plot.Assess whether the model assumptions are met.Are there any outliers or influence points?If so, identify them by ID and comment on the effect of each on the regression.

Occupational TitleEducation Level (years)Income ($)Percent of Workforce that are WomenPrestige Score

GOV_ADMINISTRATORS13.111235111.1668.8

GENERAL_MANAGERS12.26258794.0269.1

ACCOUNTANTS12.77927115.763.4

PURCHASING_OFFICERS11.4288659.1156.8

CHEMISTS14.62840311.6873.5

PHYSICISTS15.64110305.1377.6

BIOLOGISTS15.09825825.6572.6

ARCHITECTS15.44141632.6978.1

CIVIL_ENGINEERS14.52113771.0373.1

MINING_ENGINEERS14.64110230.9468.8

SURVEYORS12.3959021.9162

DRAUGHTSMEN12.370597.8360

COMPUTER_PROGRAMERS13.83842515.3353.8

ECONOMISTS14.44804957.3162.2

PSYCHOLOGISTS14.36740548.2874.9

SOCIAL_WORKERS14.21633654.7755.1

LAWYERS15.77192635.1382.3

LIBRARIANS14.15611277.158.1

VOCATIONAL_COUNSELLORS15.22959334.8958.3

MINISTERS14.546864.1472.8

UNIVERSITY_TEACHERS15.971248019.5984.6

PRIMARY_SCHOOL_TEACHERS13.62564883.7859.6

SECONDARY_SCHOOL_TEACHERS15.08803446.866.1

PHYSICIANS15.962530810.5687.2

VETERINARIANS15.94145584.3266.7

OSTEOPATHS_CHIROPRACTORS14.71174986.9168.4

NURSES12.46461496.1264.7

NURSING_AIDES9.45348576.1434.9

PHYSIO_THERAPSTS13.62509282.6672.1

PHARMACISTS15.211043224.7169.3

MEDICAL_TECHNICIANS12.79518076.0467.5

COMMERCIAL_ARTISTS11.09619721.0357.2

RADIO_TV_ANNOUNCERS12.71756211.1557.6

ATHLETES11.4482068.1354.1

SECRETARIES11.59403697.5146

TYPISTS11.49314895.9741.9

BOOKKEEPERS11.32434868.2449.4

TELLERS_CASHIERS10.64244891.7642.3

COMPUTER_OPERATORS11.36433075.9247.7

SHIPPING_CLERKS9.17476111.3730.9

FILE_CLERKS12.09301683.1932.7

RECEPTIONSTS11.04290192.8638.7

MAIL_CARRIERS9.2255117.6236.1

POSTAL_CLERKS10.07373952.2737.2

TELEPHONE_OPERATORS10.51316196.1438.1

COLLECTORS11.2474147.0629.4

CLAIM_ADJUSTORS11.13505256.151.1

TRAVEL_CLERKS11.43625939.1735.7

OFFICE_CLERKS11407563.2335.6

SALES_SUPERVISORS9.84748217.0441.5

COMMERCIAL_TRAVELLERS11.1387803.1640.2

SALES_CLERKS10.05259467.8226.5

NEWSBOYS9.62918714.8

SERVICE_STATION_ATTENDANT9.9323703.6923.3

INSURANCE__AGENTS11.6813113.0947.3

REAL_ESTATE_SALESMEN11.09699224.4447.1

BUYERS11.03795623.8851.1

FIREFIGHTERS9.478895043.5

POLICEMEN10.9388911.6551.6

COOKS7.7431165229.7

BARTENDERS8.5393015.5120.2

FUNERAL_DIRECTORS10.5778696.0154.9

BABYSITTERS9.4661196.5325.9

LAUNDERERS7.33300069.3120.8

JANITORS7.11347233.5717.3

ELEVATOR_OPERATORS7.58358230.0820.1

FARMERS6.8436433.644.1

FARM_WORKERS8.6165627.7521.5

ROTARY_WELL_DRILLERS8.886860035.3

BAKERS7.54419933.338.9

SLAUGHTERERS_17.64513417.2625.2

SLAUGHTERERS_27.64513417.2634.8

CANNERS7.42189072.2423.2

TEXTILE_WEAVERS6.69444331.3633.3

TEXTILE_LABOURERS6.74348539.4828.8

TOOL_DIE_MAKERS10.0980431.542.5

MACHINISTS8.8166864.2844.2

SHEET_METAL_WORKERS8.465652.335.9

WELDERS7.9264775.1741.8

AUTO_WORKERS8.43581113.6235.9

AIRCRAFT_WORKERS8.7865735.7843.7

ELECTRONIC_WORKERS8.76394274.5450.8

RADIO_TV_REPAIRMEN10.2954492.9237.2

SEWING_MACH_OPERATORS6.38284790.6728.2

AUTO_REPAIRMEN8.157950.8138.1

AIRCRAFT_REPAIRMEN10.177160.7850.3

RAILWAY_SECTIONMEN6.674696027.3

ELECTRICAL_LINEMEN9.0583161.3440.9

ELECTRICIANS9.9371470.9950.2

CONSTRUCTION_FOREMEN8.2488800.6551.1

CARPENTERS6.9252990.5638.9

MASONS6.659590.5236.2

HOUSE_PAINTERS7.8145492.4629.9

PLUMBERS8.3369280.6142.9

CONSTRUCTION_LABOURERS7.5239101.0926.5

PILOTS12.27140320.5866.1

TRAIN_ENGINEERS8.498845048.9

BUS_DRIVERS7.5855629.4735.9

TAXI_DRIVERS7.9342243.5925.1

LONGSHOREMEN8.374753026.1

TYPESETTERS10646213.5842.2

BOOKBINDERS8.55361770.8735.2