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Answer:
See explaination
Step-by-step explanation:
See attachment for diagram
The r value is 0.373 (low). This implies a weak correlation between the dependent and independent variables for this sample.
The overall p- value for the regression model is 0.0017. This implies that at least one of the two independent variables (x1 or x2) in the model is significant predictor of the dependent variable y.
p- values for the both "Fact" and "Star" are < 0.05. This means both the independent variables are significant predictors of the "Rating" at 95% confidence level. The variable "Fact" is significant at 99% level of confidence also. This means the rating viewers award to a movie depends upon both the storyline (fact or Fiction) and the presence or absence of stars.
Expected rating for a fact based movie with no stars = 1.7991(1) + 1.2586(0) + 12.5685 = 14.37
Expected rating for a fiction based movie with a star = 1.7991(0) + 1.2586(1) + 12.5685 = 13.83
So, one may expect a fact based movie without any stars to get better ratings than a fiction based movie with one star.
The answer is 21.
Explanation:
5x3=15
15+6=21
Remember, mean is average. So first you add them all up, and then divide by the total number. All the dollars added up and then divided by 6 equals 59. So, working backwards, if you multiply 6 (the number of categories) by 59 you get the total of all money earned from every category. 6 times 59 equals 354. But if you add what you can see right now, it only equals 274. So the t-shirt total must be the difference between the two... 80 dollars.
<em>.... what is this train..... ❓❓</em>