The tables show linear functions representing the estimated time it takes for the math and language arts portions of standardize
1 answer:
The language arts function has the greater slope. Then the correct option is C.
<h3>What is the linear system?</h3>A linear system is one in which the parameter in the equation has a degree of one. It might have one, two, or even more variables.
The tables show linear functions representing the estimated time it takes for the math and language arts portions of standardized tests with different numbers of questions.
The table is shown below.
The slope of math will be
Slope of math = (207 - 87)/ (65 - 25)
Slope of math = 120/40
Slope of math = 3
The slope of language arts will be
Slope of language arts = (248 - 88)/(60 - 20)
Slope of language arts = 160/40
Slope of language arts = 4
The language arts function has the greater slope, which shows that the estimated time per question for language arts is less than the estimated time per question for math.
More about the linear system link is given below.
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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.
