Please answer the picture attached, thank you.This is the link of the data needed to make a multiple linear regression?>> https://docs.google.com/spreadsheets/d/1N8CgGNGmI-c1hv4R2Y8IREJgiUsaOG_G/edit?usp=sharing&ouid=109564792209109156209&rtpof=true&sd=true

Run a multiple linear regression in the given data set to determine the significant predictors of the total mercury found in the hair of the fishermen. Dataset: fishermen_mercury.csv Source: N.B. Al-Majed and M.R. Preston (2000). "Factors Influencing the Total Mercury and Methyl Mercury in the Hair of Fishermen in Kuwait," Environmental Pollution, Vol. 109, pp. 239-250 Description: Factors related to mercury levels among fishermen and a control group of non-fishermen. Variablesames Age in years (age) Residence Time in years_(restime) Height in cm _(height) Weight in kg _(weight) Fish meals per week _((fishmlwk) Parts of fish consumed: 0=none, 1=muscle tissue only, 2=mt and sometimes whole fish, 3=whole fish (fishpart) Methyl Mercury in mg/g _(Melig) Total Mercury in mg/g _(Tothg)