The data from exercise 3 follow. excel file: data12-17.xls the estimated regression equation for these data is ŷ = 7.6 + .9x. co
mpute sse, sst, and ssr (to 1 decimal). sse sst ssr what percentage of the total sum of squares can be accounted for by the estimated regression equation (to 1 decimal)? % what is the value of the sample correlation coefficient (to 3 decimals)? icon
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Answer:
The probability that a randomly chosen Ford truck runs out of gas before it has gone 325 miles is 0.0062.
Step-by-step explanation:
Let <em>X</em> = the number of miles Ford trucks can go on one tank of gas.
The random variable <em>X</em> is normally distributed with mean, <em>μ</em> = 350 miles and standard deviation, <em>σ</em> = 10 miles.
If the Ford truck runs out of gas before it has gone 325 miles it implies that the truck has traveled less than 325 miles.
Compute the value of P (X < 325) as follows:
Thus, the probability that a randomly chosen Ford truck runs out of gas before it has gone 325 miles is 0.0062.