In a study or experiment, the response variable is the one that is measured or observed for changes, while the explanatory variable is the one that is manipulated or controlled by the researcher to see its effect on the response variable.

1. In your case, temperature is the response variable because it is the one being measured or observed. You are interested in seeing how it changes under different conditions.

2. Humidity is the explanatory variable because it is the one being manipulated or controlled. You are changing the levels of humidity to see how it affects the temperature.

3. The reason why humidity is considered the explanatory variable and temperature the response variable is based on the hypothesis or research question. If you are investigating "How does humidity affect temperature?", then humidity is the factor you are changing (explanatory variable) and temperature is what you are measuring to see if it changes (response variable).

4. This doesn't mean that temperature can't affect humidity. It's just that in this particular study, you are interested in how changes in humidity affect temperature, not the other way around.

5. Therefore, in this context, temperature is the response variable and humidity is the explanatory variable.

Question

In a study or experiment, the response variable is the one that is measured or observed for changes, while the explanatory variable is the one that is manipulated or controlled by the researcher to see its effect on the response variable.

1. In your case, temperature is the response variable because it is the one being measured or observed. You are interested in seeing how it changes under different conditions.

2. Humidity is the explanatory variable because it is the one being manipulated or controlled. You are changing the levels of humidity to see how it affects the temperature.

3. The reason why humidity is considered the explanatory variable and temperature the response variable is based on the hypothesis or research question. If you are investigating "How does humidity affect temperature?", then humidity is the factor you are changing (explanatory variable) and temperature is what you are measuring to see if it changes (response variable).

4. This doesn't mean that temperature can't affect humidity. It's just that in this particular study, you are interested in how changes in humidity affect temperature, not the other way around.

5. Therefore, in this context, temperature is the response variable and humidity is the explanatory variable.

Knowee AI · Accepted Answer

In a study or experiment, the response variable is the one that is measured or observed for changes, while the explanatory variable is the one that is manipulated or controlled by the researcher to see its effect on the response variable.

1. In your case, temperature is the response variable because it is the one being measured or observed. You are interested in seeing how it changes under different conditions.

2. Humidity is the explanatory variable because it is the one being manipulated or controlled. You are changing the levels of humidity to see how it affects the temperature.

3. The reason why humidity is considered the explanatory variable and temperature the response variable is based on the hypothesis or research question. If you are investigating "How does humidity affect temperature?", then humidity is the factor you are changing (explanatory variable) and temperature is what you are measuring to see if it changes (response variable).

4. This doesn't mean that temperature can't affect humidity. It's just that in this particular study, you are interested in how changes in humidity affect temperature, not the other way around.

5. Therefore, in this context, temperature is the response variable and humidity is the explanatory variable.

Why the temperature is response variable and the humidity is the explanatory variables.

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