Answer: This is an incomplete question
Step-by-step explanation:
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.
1yr 47,000, 2nd yr 48,880, 3rd yr 51,617.28, 4th yr 57,346.7981 or 57,346.80
1yr 47,000
2nd yr 47,000 x 4% = 48,880
3rd yr 48,880 x 5.6% = 51,617.28
4th yr 51,617.28 x 11.1% = 57,346.7981 or 57,346.80
5a+8+(-2a)=-7
5a+8-2a=-7
5a-2a=-7-8
3a=-15
3a/3=-15/3
a=-5
= 9.2 cm
D = C ÷ π
= 29cm ÷ 3.14
= 9.2356
5