January February March 4.51 2.48 3.58 2.26 4.31 2.47 April May June 5.06 2.77 5.64 2.99 4.99 3.05 July August September October 5.29 3.18 5.83 3.46 4.70 3.03 5.61 3.26 2.67 November 4.90 December 4.20...


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January<br>February<br>March<br>4.51<br>2.48<br>3.58<br>2.26<br>4.31<br>2.47<br>April<br>May<br>June<br>5.06<br>2.77<br>5.64<br>2.99<br>4.99<br>3.05<br>July<br>August<br>September<br>October<br>5.29<br>3.18<br>5.83<br>3.46<br>4.70<br>3.03<br>5.61<br>3.26<br>2.67<br>November<br>4.90<br>December<br>4.20<br>2.53<br>Using Linear regression to fit the best<br>straight Line to these data, then a0<br>the interception and a1 the slope are<br>given by:<br>Select one:<br>O a. 1.2 and 2.101<br>O b. None of the above<br>O c. 0.409 and 0.499<br>O d. 0.14 and 0.491<br>

Extracted text: January February March 4.51 2.48 3.58 2.26 4.31 2.47 April May June 5.06 2.77 5.64 2.99 4.99 3.05 July August September October 5.29 3.18 5.83 3.46 4.70 3.03 5.61 3.26 2.67 November 4.90 December 4.20 2.53 Using Linear regression to fit the best straight Line to these data, then a0 the interception and a1 the slope are given by: Select one: O a. 1.2 and 2.101 O b. None of the above O c. 0.409 and 0.499 O d. 0.14 and 0.491

Jun 11, 2022
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