Research scenario: You want to investigate whether taller people weigh more than shorter people. You select 20 people from the population and note their height in cm and weight in kilograms in a table Table 1. Height and weight data Weight Height Weight Height Weight Height Weight Height 45 152.4 86 177.8 54.4 147.3 65.8 172.7 54.4 157.5 59 143.3 49.9 160 90.8 182.9 60 130 61.2 175.2 77.1 152.4 81.7 188 68 177.8 60 157.5 72.6 172.8 95.3 193 63.5 198.1 77.1 167.7 68 175.3 77.1 172.8 - what is the statistical test for this analysis?
Research scenario: You want to investigate whether taller people weigh more than shorter people. You select 20 people from the population and note their height in cm and weight in kilograms in a table
Table 1.
Height and weight data
Weight Height Weight Height Weight Height Weight Height
45 152.4 86 177.8 54.4 147.3 65.8 172.7
54.4 157.5 59 143.3 49.9 160 90.8 182.9
60 130 61.2 175.2 77.1 152.4 81.7 188
68 177.8 60 157.5 72.6 172.8 95.3 193
63.5 198.1 77.1 167.7 68 175.3 77.1 172.8
- what is the statistical test for this analysis? i am unsure of whether it is a correlation or a regression.
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Thank you for your response! that was helpful.
I thought the research scenario was imlying a
Just clarifying, would it still not be appropriate to do a correlation?
That does make sense. However, we are expected to use the data set from table 1 and conduct the appropriate statistical test. We don't have an already known variable X to predict variable Y. We must answer the research scenario using the data set. The data set given, e.g., select 20 people from the population correspond to the data set provided. It is not an already known data set to allow us to predict the influence of height on weight.
Would it still be regression in this case?