A non-response bias is when subjects are selected to participate in a survey but some choose not to respond. This would lead to a portion of the population being misrepresented leading to inaccurate results. For example, those who returned the survey might be more likely to do something than those who did not complete the survey.
Answer:
your mom
i dunno what else to put here lol
The characteristics described in the scatterplot are B. positive correlation D. weak association E. linear.
<h3>What are the condition for Correlation?</h3>
1. Negative Correlation:
The correlation is achieved when either or both values of x and y on the graph decrease.
2. Positive Correlation
The correlation is achieved when the slope (value) of both x and y increases.
3. Strong Correlation
This is achieved when there's uniformity in slopes x and y.
4. Weak Correlation
This is achieved when there are no uniforms in slopes x and y
5. Linear
Linearity is achieved when the data pattern is linear (straight)
6. Nonlinear
Non-Linearity refers to whether a data pattern is curved.
We can see that the characteristics described in the scatterplot are B. positive correlation D. weak association E. linear.
Learn more about correlation coefficient here:
brainly.com/question/10725272
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Answer:
g(-3) = 23
Step-by-step explanation:
This question is telling us that x = -3. Knowing this, we can plug x into the equation and solve to find g(-3).
Square -3 to get 9
Multiply 9 by 3 to get 27
Subtract 4 from 27 to get 23
Thus, g(-3) is equal to 23.
I hope this helps! Good luck!
The scale factor is 2
x = 11.5
14/7 = 2
23/x = 2
x = 11.5
