p. Find the linear correlation
Permutations and Combinations
If there are 5 dishes, they can be relished in any order at a time. In permutation, it should be in a particular order. In combination, the order does not matter. Take 3 letters a, b, and c. The possible ways of pairing any two letters are ab, bc, ac, ba, cb and ca. It is in a particular order. So, this can be called the permutation of a, b, and c. But if the order does not matter then ab is the same as ba. Similarly, bc is the same as cb and ac is the same as ca. Here the list has ab, bc, and ac alone. This can be called the combination of a, b, and c.
Counting Theory
The fundamental counting principle is a rule that is used to count the total number of possible outcomes in a given situation.

![**Course:** MAT761 – Fall 2020
**Assignment 9 (Chapter 10)**
**Date:** 11/29/2020
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**Task:**
**1. Determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables.**
- [ ] A. There is insufficient evidence to support the claim of a linear correlation between the two variables.
- [ ] B. There is insufficient evidence to support the claim of a nonlinear correlation between the two variables.
- [ ] C. There is sufficient evidence to support the claim of a linear correlation between the two variables.
- [ ] D. There is sufficient evidence to support the claim of a nonlinear correlation between the two variables.
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**2. Identify the feature of the data that would be missed if part (b) was completed without constructing the scatterplot.**
- [ ] A. The scatterplot reveals a distinct pattern that is not a straight-line pattern.
- [ ] B. The scatterplot reveals a distinct pattern that is a straight-line pattern with a negative slope.
- [ ] C. The scatterplot does not reveal a distinct pattern.
- [ ] D. The scatterplot reveals a distinct pattern that is a straight-line pattern with a positive slope.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F6594800f-7800-41ae-9929-c14fe4e047e1%2Fe9d615cb-4e68-44bf-9bb4-c5fec80344ef%2Fft0723j_processed.jpeg&w=3840&q=75)
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