This question comes from an example of an answer to a case study that has already been submitted provided by the instructor. In this sample submission it was mentioned that the 1 to 1.5 was the estimate. My goal is to figure out how to find "1 to 1.5"

The article stated the following "The conclusion from the historical regression estimates is that the beta (for the past) is around 1 to 1.5, with a fair degree of stability"

Where is this estimate from?

2 4 5 6 Daily Groupon returns (capital gains plus dividends, 16th March 2015 to 15th March 2016) on daily S&P 500 returns 7 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% 8 Intercept 0.15815 0.279347 -0.56614 0.571802 -0.70831 0.392013 SP Ret 1.540367 0.26541 5.803725 1.95E-08 1.017652 2.063082 10 11 Weekly Groupon returns on S&P weekly returns from Nov. 7, 2011 to April 18, 2016 12 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% 13 Intercept -0.00734 0.005921 -1.23929 0.216495 -0.019 0.004328 14 Return 1.935643 0.326724 5.924407 1.13E-08 1.291904 2.579382 15 16 Daily regession for the period Nov. 4, 2011 to April 18, 2016 17 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% 18 Intercept 0.0084 0.011985 -0.70049 0.486802 0.03246 0.015666 19 X Variable 1 1.830913 0.575835 3.179576 0.002508 0.674875 2.986951 20 21 Monthly data, I got for the period 4th November 2011 to 4th January 2016 22 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% 23 Intercept -0.0173 0.028323 -0.61074 0.544082 -0.07416 0.039563 24 SP Ret 1.019712 0.872441 1.168803 0.247917 -0.73179 2.77121 25 26 27 28 29 30 31 32 33 34