Instructions: Use technology to create a scatter plot for the data below. Then find the answers to the following questions. (Note: You will not turn in the scatter plot for this question.) Weight (Ibs.) 173 184 194 214 168 220 188 188 207 167 217 Systolic Blood Pressure 132 143 153 162 154 168 137 149 159 128 166 1. What is the response variable? Systolic Blood Pressure : 2. What is the explanatory variable? Weight 3. What is the equation of the linear regression line? y = a b. x (Round to the nearest hundredth, if necessary.) 4. If person's weight is 150, what can we expect the systolic blood pressure to be? (Round to the nearest whole number, if necessary.) This is an example of extrapolation 5. The sample correlation coefficient is (Round to the nearest hundredth, if necessary.) This number indicates that there is a strong positive correlation between the explanatory and response variables. Please answer all parts of the question,

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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.