Let x be the age in years of a licensed automobile driver. Let y be the percentage of all fatal accidents (for a given age) due to speeding. For example, the first data pair indicates that 33% of all fatal accidents of 17-year-olds are due to speeding x 17 27 37 47 y 33 27 57 67 21 12 10 7 77 (b) Verify the given sums Ex, Ey, Ex, Ey, Exy and the value of the sample correlation coefficient r. (Round your value for r to four decimal places.) Ex Ey = E = Ey2 = Exy (c) Find x, and y. Then find the equation of the least-squares line y = a + bx. (Round your answer to four decimal places.) y = y = (d) Graph the least-squares line. Be sure to plot the point (x, y) as a point on the line. y y 50 50 40 40 b b 30 30 a 20 20 10 10 20 40 60 80 20 40 60 80 O-101 O-10l y y 50 50 40 40 30 d 30 20 20 10 10 20 40 60 80 20 40 60 80 O-101 O-10 (e) Find the value of the coefficient of determination r. What percentage of the variation in y can be explained by the corresponding variation in x and the least-squares line? What percentage is unexplained? (Round your answer for r to four decimal places. Round your answers for the percentages to two decimal place.) explained
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
Let x be the age in years of a licensed automobile driver. Let y be the percentage of all fatal accidents (for a given age) due to speeding. For example, the first data pair indicates that 33% of all fatal accidents of 17-year-olds are due to speeding.


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