What is the TWO SOURCES OF VARIABILITY?

A scientist, who wants to study the effects of precipitation on rice crops, sets up an experiment with 4 groups of rice crops. Rice crop harvest vs. precipitation level Group B Group A 0 150 Group C Precipitation (cm/annually) Harvest (pounds/acre) 0 60 Which statement best describes the relationship between the dependent and independent variables in this study? 20 O The amount of precipitation is dependent on the amount of rice harvest. O The amount of rice harvest is positively correlated with the increase in precipitation. The amount of rice harvest is not affected by the amount of precipitation. The amount of rice harvest is negatively correlated with the increase in precipitation. 200 Group D 40 300

The correlation coefficient ranges from which two values?

Provide answer.

The condition of an independent variable being correlated to one or more other independent variables is referred to as     nonlinearity.     statistical significance.     multicollinearity.     linearity.

We calculate the ____ ___ equation when we want to measure the exact percentage of the variability in the outcome that was explained by the independent variable.

The data set provides a few measures from car models produced in the 1970s. We are focusing on Acceleration as the main outcome variable of interest in this analysis and we would like to examine other variables that may impact Acceleration. For exploring the relationships among the variables, run bivariate correlations for Engine, Horsepower, Weight, and Acceleration. Which variable has the strongest correlation with Acceleration (regardless of direction)?

Part 2 of 2 Construct an ogive for the data. Cumulative Frequency 20 15 10 5 0 69.5 0 109.5 0 College Faculty 149.5 0 189.5 Number of faculty 0 229.5 0 269.5 0 309.5 X ←

What are some of the possible reasons for large correlations betwen a pair of variables, X and Y?

2. In a correlational study, how do you decide which variable is X and which is Y?