Depth of snow (m) Number of skiers 0.5 120 0.8 250 2.1 500 3.6 780 1.4 300 1.5 280 1.8 410 2.7 320 3.2 640 2.4 540 2.6 530 1.7 200 Question 9: Write a conclusion of your finding by analysing the data and describing the relationship that exists in your scatterplot, stating whether it is positive or negative, and whether it is strong, moderate or weak. Justify your response by referring to Pearson's Correlation Coefficient and graph.
Depth of snow (m) Number of skiers 0.5 120 0.8 250 2.1 500 3.6 780 1.4 300 1.5 280 1.8 410 2.7 320 3.2 640 2.4 540 2.6 530 1.7 200 Question 9: Write a conclusion of your finding by analysing the data and describing the relationship that exists in your scatterplot, stating whether it is positive or negative, and whether it is strong, moderate or weak. Justify your response by referring to Pearson's Correlation Coefficient and graph.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Please answer the question on the screenshot:
Transcribed Image Text:Depth of snow (m)
Number of skiers
0.5
120
0.8
250
2.1
500
3.6
780
1.4
300
1.5
280
1.8
410
2.7
320
3.2
640
2.4
540
2.6
530
1.7
200
Question 9: Write a conclusion of your finding by analysing the data and describing the
relationship that exists in your scatterplot, stating whether it is positive or negative, and whether
it is strong, moderate or weak. Justify your response by referring to Pearson's Correlation
Coefficient and graph.
Expert Solution
Correlation concept introduction :
Correlation coefficient is denoted by r and it is used to find the linear relationship between two variables. In which, one variable is independent and second variable is dependent variable.
Types of correlation:
Positive correlation: If r value is positive and near to +1 then there is a perfect positive correlation between two variables
Negative correlation: If r value is negative and near to -1 then there is a perfect negative correlation between two variables.
No correlation: If r value near to zero then there is no correlation between two variables
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