Suppose the equation of the regression line for the number of emails a person recieves at a particular sales company is given by y = 7 + 18 · x. Where y is based on the number of accounts the person has, x. If a person has 15 accounts, find the number of emails they will recieve. Number of emails:

Use the regression equation to predict the value of y= -2.8. Assume that the variable x and y have a significant

The equation used to predict annual cauliflower yield​ (in pounds per​ acre) is y=24,596+4.423x1−4.772x2​, where x1 is the number of acres planted an x2 is the number of acres harvested. Use the multiple regression equation to predict the​ y-values for the values of the independent variables.

A regression analysis between cost to build a clinic (in dollars) and clinic size (in square foot) resulted in the following equation: y=75+6x. This implies that if the clinic size is 800 square feet, then the cost to build a clinic (in dollars) is?

The linear regression equation for the data from the number 2 is y=.27x+5.82.  Describe the slope of the linear best-fit equations.

biologist was recording various temperatures (in degrees Celsius) and predicting the amount of glucose produced by a plant (in milligrams). Suppose the linear equation was the following: ?̂ = 12.7 − 0.223? a) Interpret the slope of the regression line.

Find the regression equation for the data in the table:     y = 2(0.5)x     y = 0.70x2 - 3.89x + 1.11     y = 10x     y = -2.93x + 7.76

After interviewing salespersons at Harley Davidson dealerships, a researcher has created a linear regression line to explain the relationship between a Harley Davidson motorcycle's age (x) and price (y). The regression has an R² = 87.7%. Write a sentence summarizing what R² says about this regression. The age of the motorcycle explains 12.3% of the variation in price. The age of the motorcycle explains 9.36% of the variation in price. The age of the motorcycle explains 87.7% of the variation in price. The price of the motorcycle explains 12.3% of the variation in age. The price of the motorcycle explains 87.7% of the variation in age.

There is a linear relationship between the number of chirps made by the stiped ground cricket and the air temperature. It was determined that the linear regression model is: y = 25.2 + 3.3x where x is the number of chirps per minute and y is the estimated temperature in degrees Fahrenheit. What is the predicted number of chirps made when the temperature is 60 degrees Fahrenheit? Round to the nearest integer. Do not include units.

The regression equation that predicts the movie film gross amount earned (in millions of dollars) from the number of books (in millions) of the same name sold is: Predicted Film Gross = 37.50 + 1.57 Sales. What does the slope mean in the context of this problem?