An investigation of the relationship between traffic flow (measured in cars per day) and lead content (measured in micrograms per gram of dry weight) in the bark of trees near the highway yielded the following summary statistics:   Sample Mean Sample Standard Deviation Lead Content (micrograms per gram dry weight) y¯=y¯= 680 sysy = 240 Traffic Flow (cars / day) x¯=x¯= 1750 sxsx = 800 The correlation between lead content and traffic flow was found to be r = 0.6 and a scatterplot showed the form to be linear. The least squares regression line for using X to predict Y was found to be y^=365+0.18xy^=365+0.18x.   For trees in a given area, if the traffic flow is 14,000 cars per week, predict the lead content in their bark.   Note: the traffic flow given in this question is NOT in the same units as the values used to calculate the line. Given value of  x = 14,000 cars per week equals how many  cars per day Predicted Value of  y  is how many micrograms per gram of dry weight

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An investigation of the relationship between traffic flow (measured in cars per day) and lead content (measured in micrograms per gram of dry weight) in the bark of trees near the highway yielded the following summary statistics:

  Sample Mean Sample Standard Deviation
Lead Content (micrograms per gram dry weight) y¯=y¯= 680 sysy = 240
Traffic Flow (cars / day) x¯=x¯= 1750 sxsx = 800

The correlation between lead content and traffic flow was found to be r = 0.6 and a scatterplot showed the form to be linear.

The least squares regression line for using X to predict Y was found to be y^=365+0.18xy^=365+0.18x.

 

For trees in a given area, if the traffic flow is 14,000 cars per week, predict the lead content in their bark.  

Note: the traffic flow given in this question is NOT in the same units as the values used to calculate the line.

Given value of  x = 14,000 cars per week equals how many  cars per day

Predicted Value of  y  is how many micrograms per gram of dry weight

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