The number of times a player has golfed in one's lifetime is compared to the number of strokes it takes the player to complete 18 holes. The correlation coefficient relating the two variables is -0.26. Which best describes the strength of the correlation and what is true about the causation between the variables?
The number of times a player has golfed in one's - 1

Answers

Answer 1
Answer:

Answer: It is a weak negative correlation and it is not likely causal.

Step-by-step explanation:

Given: The number of times a player has golfed in one's lifetime is compared to the number of strokes it takes the player to complete 18 holes. The correlation coefficient relating the two variables is -0.26.

Variables : "number of times a player has golfed in one's lifetime" and "number of strokes it takes the player to complete 18 holes".

Since -0.26 is more closer to 0 as compared to 1 , so it describes a weak negative correlation.

Also, it is not likely causal as number of times a player has golfed in one's lifetime not cause number of strokes it takes the player to complete 18 holes.

Answer 2
Answer:

Answer: B) It is a weak negative correlation, and it is likely casual

Correct on edge 2020!


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Roy wants to buy a new television for $300.

Answers

Answer:

No answer...

Step-by-step explanation:

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Answer:

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Step-by-step explanation:

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Answers

Answer:

7. 56

8. 117

Step-by-step explanation:

7.

Add the lengths of the sides. Each square on the grid has side 2 units.

9 + 4 + 4 + 8 + 11 + 3 + 2 + 15 = 56

8.

Find the lengths of the bases and the height of the trapezoid. Each square on the grid is 2 units.

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Consider the following model:E(y) = βo + β1x1 + β2x2 + β3x3 + β4x1x2

where y represents exam score (0 to 100 points), x1 represents the amount paid to a tutor (in dollars) in the week before the exam, x2 represents the number of hours of sleep in the week before the exam, and as represents number of study hours in the week before the exam. How many independent variables are included in this model?

a. 3
b. 2
c. 1
d. 4

Answers

Answer:

a. 3

Step-by-step explanation:

An independent variable is the variable that is changed in an experiment to test its effects on the dependent variable. i.e. inputs

A dependent variable is the variable being tested, measured or predicted in an experiment. I.e a outcome

In this case, the the effects of the amount tutors are paid a week before exam, the amount of sleep before exam and the number of study hours are input variables to determine or predict a students score in exam

The independent variables are;

x1 =represents the amount paid to a tutor (in dollars) in the week before the exam

x2 = represents the number of hours of sleep in the week before the exam

x3 = number of study hours in the week before the exam

The dependent variable is the exam score

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A lawnmower designer wants to build a lawnmower that measures 3 feet in height, 2 feet in width, and 5 feet in length. She needs to construct a three-dimensional scale model of the lawnmower first. Which measurements are appropriate for the scale model?

Answers

Answer: C. 6 inches high, 4 inches wide, and 10 inches long

Step-by-step explanation:

A scale model will have to use a scale factor that ensures that the actual measurements can be accurately converted to the scale model measurements in an equivalent manner.

This means that the real measurements need to be uniform when converted by the scale factor to the scale model. In other words, in this scenario for instance, when the scale measurements are divided by the real measurements, they should give the same scale factor.

Option C is correct because all the measurements give the same scale factor when divided as opposed to the rest.

Height = Scale/ Real = 6/3 = 2

Width = 4/2 = 2

Length = 10/5 = 2

They all use the scale factor of 1 feet: 2 inches so option C is correct.