QUESTION 5 A correlation between 2 variables that is close to 1 indicates... When 1 variable increases, the other is likely to increase as well When 1 variable increases, the other is likely to decrease When 1 variable increases, the other is just as likely to either increase, decrease, or not change QUESTION 6 I've created 2 different regressions to predict the growth of plants. All of the predictor variables are significant. See the comparisons below Outcome variable Adjusted R-squared Significance F Predictor variables Model A Model B Height of plant Height of plant 68.2% 53.8% 0.0002 0.00132 Amount of water received over last month Soil Quality (measured on a 1-10 scale) (measured in cm) Amount of fertilizer received over last month Amount of sunlight received (measured on a (measured in grams) 1-10 scale) Amount of sunlight received (measured on a Avg daily temp (degrees F) 1-10 scale) Seed Quality (measured on a 1-10 scale) Which of the two models should I use and why? Model A because the adjusted R-squared is higher Model B because the significance F is higher Model B because there are more significant predictor variables