Question: 1.True / False: A simple linear regression model of how years predicts stock yield is considered to be a good model based on the amount

1.True / False: A simple linear regression model

1.True / False: A simple linear regression model of how years predicts stock yield is considered to be a good model based on the amount of variance described by the model?

2.Yes / No: According to the simple linear model, as the number of years increases, the company's yield decreases?

3.Accept / Reject: Does the p value for Years suggest that we should accept or reject the null hypothesis?

E F F G H B C D 1 Company Ticker Years Yield 2 GE 1 0.767 3 MS 1 1.816 4 WFC 1.25 0.797 5 TOTAL 1.75 1.378 6 TOTAL 3.25 1.748 7 GS 3.75 3.558 8 MS 4 4.413 9 JPM 4.25 2.31 10 C 4.75 3.332 11 RABOBK 4.75 2.805 12 TOTAL 5 2.069 13 MS 5 4.739 14 AXP. 5 2.181 15 MTNA 5 4.366 16 BAC 5 3.699 17 VOD 5 1.855 18 SHBASS 5 2.861 19 AIG 5 3.452 20 HCN 7 4.184 21 MS 9.25 5.798 22 GS 9.25 5.365 23 GE 9.5 3.778 24 GS 9.75 5.367 25 C 9.75 4.414 26 BAC 9.75 4.949 27 RABOBK 9.75 4.203 28 WFC 10 3.682 29 TOTAL 10 3.27 30 MTNA 10 6.046 31 LNC 10 4.163 32 FCX 10 4.03 33 NEM 10 3.866 34 PAA 10.25 3.856 35 HSBC 12 4.079 36 GS 25.5 6.913 37 C 25.75 8.204 38 GE 26 5.13 39 GE 26.75 5.138 40 T 28.5 4.93 41 BAC 29.75 5.903

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