The table lists weights (pounds) and highway mileage amounts (mpg) for seven automobiles. Use the sample data to construct a scatterplot. Use the first variable for the x-axis. Based on the scatterplot, what do you conclude about a linear correlation? Weight (Ib) Highway (mpg) 2920 2995 3655 4395 4520 2210 3375 D 33 32 27 23 22 39 29 Which scatterplot below shows the data? O A. OB. Oc. OD. Q 401e 40 20+ 2000 5000 Weight (Ib) 20+ 2000 Weight (ib) 20H 20 + 2000 5000 5000 Weight (Ib) 2000 5000 Weight (Ib) Is there a linear relationship between weight and highway mileage? O A. No, there appears to be no relationship. O B. Yes, as the weight increases the highway mileage decreases. Oc. Yes, as the weight increases the highway mileage increases. O D. No, there appears to be a relationship, but it is not linear.
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.

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