Definitions
Letter value that measures the strength and direction of a linear relationship
What is r?
Percent variation in Monthly Active YouTube Users where r^2 is 0.28
What is 28%?
Did the findings of this analysis support or oppose our initial hypothesis?
What is oppose?
If a residual plot shows a random scatter, what kind of model is appropriate?
What is a linear model?
If r = 0.52660, how would you describe the relationship?
What is Moderate Positive Linear Relationship?
Between average daily screen time and TV Watchtime, which was a better predictor of YouTube Users?
What is TV Watchtime?
What equation, written as ŷ = a +bc, is used to predict values based on a linear relationship? (name of the equation/line)
What is Least Squares Regression Line (LSRL)
In the regression line (ŷ= -7.2823 + 0.0232x) predicting YouTube Users from screen time, what does the slope represent?
What is the predicted increase in YouTube Users (0.0232) per increase in daily screen time by 1 minute?
What does the standard deviation, s = 0.246, of the average TV Watchtime say about the predicted YouTube Users?
What is the predictions will be 0.246 away from the mean line?
What does a large standard deviation of residuals tell us about the model's predictions?
What is the predictions are less accurate/have more variability?
If r = -0.913, how would you describe this relationship?
What is Strong negative linear relationship?
What was the r^2 value for the TV Watchtime?
What is 83% or 0.833?
If two models are linear and one of them has smaller residuals but a higher r^2, what conclusion can we make? (which model is a better predictor)
What is the other model fits the data better and is more reliable for predicting data?
Did average screen time or average TV Watchtime have a negative slope?
What is average screen time?
When is it appropriate to use the linear model for predictions where the Average TV Watchtime is the explanatory variable? (number/range of minutes)
What is 130 minutes to 260 minutes? or something in between