MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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- a tab = The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, bo + bx, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, In practice, It would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Answer How to enter your answer (opens in new window) esc Step 3 of 6: Substitute the values you found in steps 1 and 2 into the equation for the regression line to find the estimated linear model. According to this model, if the value of the independent variable is increased by one unit, then find the change in the dependent variable . Google Play Store alt 1…arrow_forwardWhat is basic regression? What is multiple regression? How do they both relate to Data Mining?arrow_forwardWhat are the assumptions of multiple linear regressions only?arrow_forward
- Help please!arrow_forwardLast years Data Management class decided to see if there was a relationship between the score (out of 10) a student got on the two-variable stats quiz, and their score (out of 30) on the unit test. Use the given data to Quiz Score Test Score 6 8 10 9 10 20 26 29 26 30 a) Calculate the correlation coefficient. b) Perform a linear regression.arrow_forwardin multiple regression analysis, a residual is the difference between the value of a dependent variable and its corresponding independents variable value? True or false?arrow_forward
- What does the square of the linear correlation coefficient measure (rxr)?arrow_forwardTwo correlated variables may have no true relationship. True or false The correlation coefficient (r) tells us what percent of the variation in the dependent variable is explained by variation in the independent variable. True or False Regression analysis can be linear or nonlinear. True or Falsearrow_forwardHelp please!arrow_forward
- How does linear regression differ from analysis of variance?arrow_forwardState whether the slope of a simple linear regression line is statistically significant, then the correlation will also always be significant?arrow_forwardwhat does regression analysis mean? What can you tell from it?arrow_forward
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