: Which of the following scatterplots would have the highest absolute correlation (i.e. shows the strongest linear relationship? View
: A new model was fit, this time adding in the two categorical variables Sex (0=male, 1=female) and Age (0=young, 20-46 years old, 1= old, 46+ years old), the model summary is shown below View
: The head size of an 8 year old child is found to be 1800 cm3, What caution(s) should be noted if asked to predict this child’s brain weight? (Select all that apply.) View
: Background for Questions 7 – 13 In 1905, R.J. Gladstone conducted a study of the relationship between brain weight and size of the head. Brain weight (grams) and head size (cubic cm) measurements were performed for 237 adults. Two categorical variables for Sex (0=male, 1=female) and Age (0=young, 20-46 years old, View
: A study was conducted to model the linear relationship between Las Vegas nightly hotel cost (dollars) and hotel rating (on a 100 point scale). Nightly hotel cost will be used to predict hotel rating. A random sample of 30 Las Vegas hotels was collected and an estimated slope (b1) was found to be 0.21. Which of the following is a correct interpretation of the estimated slope (b1)? View
: Which of the following are assumptions needed for conducting a hypothesis test on the population slope in a linear regression analysis? (Select all that apply.) View
: Which of the following scatterplot(s) would have a correlation coefficient that is close to 0? (Select all that apply.) View
: Which of the following scatterplot(s) would fitting a linear regression model to the data be appropriate? (Select all that apply.) View
: A 95% confidence interval for the mean brain weight for all adults in 1905 with a head size of 3400 cm3 was calculated to be (1210.14 grams, 1232.33 grams). How would the width of the 95% confidence interval for the mean brain weight for all adults in 1905 with a head size of 3600 cm3 compare to this one? View
: The study relating brain weight (grams) and head size (cubic cm) yielded an R-squared of 0.6393. Which of the following is a correct interpretation of the R-squared? View
