The following data show the retail price for 12 randomly selected laptop computers along with their corresponding processor speeds in gigahertz. computers speed price1 2.0 $ 1008.502 1.6 461.003 1.6 532.004 1.8 971.005 2.0 1068.506 1.2 506.007 2.0 1098.508 1.6 693.509 2.0 1057.0010 1.6 1001.0011 1.0 468.5012 1.4 435.50a. develop a linear equation that can be used to describe how the price depends on the processor speed. (negative value should be indicated by a minus sign. round your answers to the nearest whole number.)price=+ speedb. based on your regression equation, is there one machine that seems particularly over- or underpriced? a. yes, the second laptop is underpriced. b.yes, the fourth laptop is overpriced. c.no, there is no laptop which is over- or underpriced. c-1. compute the correlation coefficient between the two variables. (round your answer to 3 decimal places.)correlation of speed and -2. state the decision rule for .05 significance level: h0: ρ ≤ 0; h1: ρ > 0. (round your answer to 3 decimal places.)reject h0 if t > -3. compute the value of the test statistic. (round your answer to 3 decimal places.)value of test -4. is it reasonable to conclude that the population correlation could be greater than zero? use 0.05 significance level. reject/do not reject h0. it is reasonable to say the population correlation is positive/negitive/zero