The height (in cm) and weight (in lbs) of 15 randomly selected baseball players are shown in the table below. height weight 76 212 76 224 72 180 74 210 75 215 71 200 77 235 78 235 77 194 76 185 72 180...


The height (in cm) and weight (in lbs) of 15 randomly<br>selected baseball players are shown in the table below.<br>height<br>weight<br>76<br>212<br>76<br>224<br>72<br>180<br>74<br>210<br>75<br>215<br>71<br>200<br>77<br>235<br>78<br>235<br>77<br>194<br>76<br>185<br>72<br>180<br>72<br>170<br>75<br>220<br>74<br>228<br>73<br>210<br>(This data set is also available on Desmos.com or as an<br>e Excel file. D [+]<br>Assume we want to do a regression analysis.<br>i. Find the correlation coefficient. Round your answer to<br>four decimal places.<br>r= 0.60:<br>ii. Does it actually make sense to use the line for<br>predictions? Do a hypothesis test with a=0.05 and explain<br>your answer. You may want to reference a e Critical<br>Values Table [+] (there is also one in your textbook).<br>iii. What percent of the variation in weight can be<br>explained by variation in height?<br>About<br>% of the variation in weight can be<br>explained by variation in height. Give your answer<br>as a whole number.<br>iv. Find the equation for the regression line. (Please do this<br>even if it does not make sense to use the line for<br>predictions.) Round your answers to one decimal place.<br>y =<br>

Extracted text: The height (in cm) and weight (in lbs) of 15 randomly selected baseball players are shown in the table below. height weight 76 212 76 224 72 180 74 210 75 215 71 200 77 235 78 235 77 194 76 185 72 180 72 170 75 220 74 228 73 210 (This data set is also available on Desmos.com or as an e Excel file. D [+] Assume we want to do a regression analysis. i. Find the correlation coefficient. Round your answer to four decimal places. r= 0.60: ii. Does it actually make sense to use the line for predictions? Do a hypothesis test with a=0.05 and explain your answer. You may want to reference a e Critical Values Table [+] (there is also one in your textbook). iii. What percent of the variation in weight can be explained by variation in height? About % of the variation in weight can be explained by variation in height. Give your answer as a whole number. iv. Find the equation for the regression line. (Please do this even if it does not make sense to use the line for predictions.) Round your answers to one decimal place. y =

Jun 03, 2022
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