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Women's age affect emotional intelligence, study shows A recent study conducted through a survey of 30 randomly selected women all over X country with ages

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Women's age affect emotional intelligence, study shows A recent study conducted through a survey of 30 randomly selected women all over X country with ages 19-63 years old has shown that a woman's age directly affects their emotional intelligence score. The emotional intelligence score (EIS) is a quantity proposed by known psychologists John Er and James You, which indicates emotional maturity of a person. As women age, the emotional intelligence score becomes higher, which is clearly visible in the scatter plot below. Women's age and emotional intelligence 35 30 25 ... ....". 20 15 10 5 10 20 30 40 50 60 70 Furthermore, the researchers proposed a method that can predict a woman's emotional intelligence score. Using a simple linear regression model, the researchers were able to find an equation relating a woman's age and the emotional intelligence score. They have released the residual plot for the predictions they have and the actual data, and the researchers have reported an r-squared score of 0.9676, indicating that the linear regression model is a good choice. Linear regression equation: Emotional intelligence score = 0.6159(age) - 10.998Residual plot N 10 20 30 40 50 60 70 -1 -2 -3 The study indicates that a year increase in age leads to a 0.6159 increase in EIS. It shows that 20 year old women will have an EIS of 1.32, which increases when they become 40 years old women to an EIS of 13.638, and at 70 it will increase to 32.115. * Note: the article above is not based on real life and is only written for the purpose of this exercise. The article above is erroneous and misleading. Identify the wrong statements in the article by examining the following: Correlation and causation (10 points) Regression equation and coefficients (10 points) Assessment of the regression model (10 points) Predictions (10 points) You may include actual text from the article when you are explaining why and how the article is wrong

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