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- 1 of 11 ID: MST.SLR.REE.03.0030 [2 points] A study is conducted to determine the simple linear regression relation (if any)

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Answer #1
X Y X^2 Y^2 XY
58 70.736 3364 5003.582 4102.688
80 77.636 6400 6027.348 6210.88
35 62.986 1225 3967.236 2204.51
98 83.276 9604 6934.892 8161.048
81 77.806 6561 6053.774 6302.286
40 64.196 1600 4121.126 2567.84
63 71.206 3969 5070.294 4485.978
78 76.296 6084 5821.08 5951.088
40 64.676 1600 4182.985 2587.04
83 78.856 6889 6218.269 6545.048
42 64.776 1764 4195.93 2720.592
70 73.046 4900 5335.718 5113.22
Total 768 865.492 53960 62932.23 56952.22

we have,

Σν)Σx)- (Σκ) Σxy) n(Σx2) - (Σκ)2 n (Σαν)- (Σx)Σ) n (Σx?)- (Σκ)?

where, a = intercept

and b = slope

Thus,

a = (865.492*53960 - 768*56952.22) / (12*53960 - 768^2) = 51.35

b = (12*56952.22 - 768*865.492) / (12*53960 - 768^2) = 0.32

Thus,

a) slope = b1 = 0.32

b) Intercept = b0 = 51.35

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