Answer:
Incomplete Question
Attachment is missing
Step-by-step explanation:
To answer this question, I'll give conditions which satisfy each of the above characteristics of a scatter plot
1. Negative Correlation:
This type of correlation is achieved when either or both values of X and y on the graph decrease
2. Positive Correlation
This is achieved when the slope (value) of both x and y increase
3. Strong Correlation
This is often achieved when there's uniformity in slope x and y.
4. Weak Correlation
This is achieved when there's no uniforms in slope x and y
5. Linear
Linearity refers to whether a data pattern is linear (straight)
6. Nonlinear
Non-Linearity refers to whether a data pattern is curved.
Answer:
20.25
Step-by-step explanation:
Answer:
i got 185.4 so basically 184.
412 times 5% equals 20.6
times that by 9 for 9 months then that gives you the answer.
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.
Answer:
12/1
Step-by-step explanation:
hope this helped if not sorry