part 1:

describe the findinfs in this table by each variable in different paragraphs or sections.

part 2:

identify the top 3 correlated variable pairs. the ones clostest to 1 to minus 1 are rhe pairs that we are looking for. take the values as absolute and identify the too three highest correlated variable pairs.

part 3:

lets assume that you have necessary domain knowledge on car sales. guven iut goal of presictinf the price od a car, between Age_08_04 and KM variables, which variable would you drop from the analysis? why?

KM HP Doors Gears warterly T. Weight rantee_ Period 1 2 Price 3 Age_08_04 4 KM 5 HP 6 CC 7 Doors 8 Gears 9 Quarterly_Tax 10 Weight 11 Guarantee Period 12 Price Age_08_04 1.00 (0.88 1.00 (0.57 0.50 0.31 (0.16 0.17 (0.13) 0.18 (0.15 0.06 (0.01) 0.22 (020 0 58 (0.47) 0.15 (0.15) 1.00 (0.33) 0.30 (0.04) 0.01 0.28 (003) (0.14) 1.00 0.05 0 09 0.21 (0.30) 0.09 0.08 1.00 0.13 0.04 0.68 0.65 (0.03) 1.00 (0.16) 0.11 0.30 0.05 1.00 (0.01) 0.02 (0.03) 1.00 0.63 (0.16) 1.00 (0.01) 1 00 KM HP Doors Gears warterly T. Weight rantee_ Period 1 2 Price 3 Age_08_04 4 KM 5 HP 6 CC 7 Doors 8 Gears 9 Quarterly_Tax 10 Weight 11 Guarantee Period 12 Price Age_08_04 1.00 (0.88 1.00 (0.57 0.50 0.31 (0.16 0.17 (0.13) 0.18 (0.15 0.06 (0.01) 0.22 (020 0 58 (0.47) 0.15 (0.15) 1.00 (0.33) 0.30 (0.04) 0.01 0.28 (003) (0.14) 1.00 0.05 0 09 0.21 (0.30) 0.09 0.08 1.00 0.13 0.04 0.68 0.65 (0.03) 1.00 (0.16) 0.11 0.30 0.05 1.00 (0.01) 0.02 (0.03) 1.00 0.63 (0.16) 1.00 (0.01) 1 00