The final 2 parts of 5he question is (e) Find the value of the coefficient of determination r2. 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 r2 to three decimal places. Round your answers for the percentages to one decimal place.) r2 =   explained     % unexplained     %   (f) For a neighborhood with x = 30 hundred jobs, how many are predicted to be entry level jobs? (Round your answer to two decimal places.)  hundred jobs

One million students take a standardized test. Their average score is 500. The standard deviation of their scores is 100. A statistician chooses 400 students at random and computes the mean X of their test scores. What is the expected value of X? What is the standard deviation of X?

A researcher want to know if there is a relationship between sleep and anxiety.  The researcher randomly selected n = 5 participants and asked each to rate their sleep quality and anxiety level on a scale of 1 to 5.  The data are below: Sleep X  Anxiety Y 2 2 3 3 2 2 4 2 5 2 Calculate the Sum of Squares for X (SSX)

Two variables have a coefficient of determination of 0.8. Explain the significance of this value.

Q1. A psychologist conducted a study on the relationship between introversion and shyness. The values are results for scales of introversion and shyness. High positive scores on each scale indicate high introversion or shyness; and high negative scores indicate low introversion or shyness. Data collected from 10 people as follows: Introversion 4 -7 -1 0 6 7 -4 -9 -5 8 Shyness 11 -7 -1 -3 0 7 -1 -8 -1 5 a) Compute the correlation coefficient relating introversion and shyness scores. b) Find the regression equation which predicts introversion from shyness. c) What introversion score would you predict from a shyness score of 7?

11. For temperature (x) and number of ice cream cones sold per hour (y). (65, 8), (70, 10), (75, 11), (80,13), (85, 12), (90, 16). Interpret the coefficient of determination. Optional Answers: 1. 88.2% of the variability in the number of cones sold is explained by the least-squares regression model. 2. 93.9% of the variability in the number of cones sold is explained by the least-squares regression model. 3. 88.2% of the variability in the temperature is explained by the least-squares regression model. 4. 93.9% of the variability in the temperature is explained by the least-squares regression model.

Hi could you tell me the answers?

Another measure of the average is called the midquartile; it is the numerical value halfway between Q and Q3, and the formula is Q+Q3 Midquartile = 2. Using this formula and other formulas, find Q,, 22, Q3, the midquartile, and the interquartile range for the data set. 51, 60, 73, 92, 97, 101, 104 Send data to Excel Round your answers to one decimal place, if necessary. Part: 0 / 3 Part 1 of 3 First quartile Q, is Second quartile Q, is Third quartile Q, is