Which characteristics describe the scatterplot? check all that apply.

1.negative correlation
2.positive correlation
3.strong correlation
4.weak correlation
5.linear
6.nonlinear

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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.

a)(x-2)^2+(y-1)^2=9

step-by-step explanation:

(picture explains)

answer: 1+1

step-by-step explanation: 1+1 is at least 2