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I will be looking at the weather and the number of bees that visit the plants within the bee garden. Does the temperature seem to affect the number of bees? Or does the weather?
My response variable is the number of bees. My predictor variable is the weather. I believe these variables would be continuous because it is an infinite number between these two variables.
new doc 2019-09-23 18.11.56
Hello jpierce,
If I understand correctly, the hypothesis you are investigating is whether or not weather affects the number of bees visiting the plants within a bee garden. This is an interesting topic! I am also indirectly investigating how weather may affect my species of interest. While your hypothesis seems to be a question of “yes there is a relationship/no there is not a relationship”, I am finding it difficult to determine what your prediction is. It would be interesting to take a look at some background research to help you make an educated guess as to whether or not there would be an effect of weather on bee abundance. Then you would have yourself a nice clear and falisfiable prediction!
You did a good job of identifying your variables and their classification as continuous variables! Your response variable of number of bees would be easy enough to measure by observing the number of bees visiting the plants in the garden in a specified amount of time (although it would be important to define what “visiting” entails; it could be number of bees present, or number of bees actually landing on a plant). Weather, on the other hand, might be more difficult! This is an issue I am working out as well. I think it would be beneficial to come up with a detailed definition of what “weather” means as a predictor variable.This might include temperature (easily measured), precipitation (rain/snow), wind, and sunlight, to mention a few. If all of factors aren’t measured throughout the study, they might run the risk of becoming confounding variables. For instance, if you didn’t measure the wind level, that might be an underlying cause of the differences in bee abundance you might observe. Other things like controlling the amount of time you spend observing and the size of the quadrants within the garden you are studying would also be important in avoiding the potential confounding effects of these variables.
I hope that helps! Good luck with the rest of your experiment!
mbrowne
Hello jpierce,
If I understand correctly, the hypothesis you are investigating is whether or not weather affects the number of bees visiting the plants within a bee garden. This is an interesting topic! I am also indirectly investigating how weather may affect my species of interest. While your hypothesis seems to be a question of “yes there is a relationship/no there is not a relationship”, I am finding it difficult to determine what your prediction is. It would be interesting to take a look at some background research to help you make an educated guess as to whether or not there would be an effect of weather on bee abundance. Then you would have yourself a nice clear and falisfiable prediction!
You did a good job of identifying your variables and their classification as continuous variables! Your response variable of number of bees would be easy enough to measure by observing the number of bees visiting the plants in the garden in a specified amount of time (although it would be important to define what “visiting” entails; it could be number of bees present, or number of bees actually landing on a plant). Weather, on the other hand, might be more difficult! This is an issue I am working out as well. I think it would be beneficial to come up with a detailed definition of what “weather” means as a predictor variable.This might include temperature (easily measured), precipitation (rain/snow), wind, and sunlight, to mention a few. If all of factors aren’t measured throughout the study, they might run the risk of becoming confounding variables. For instance, if you didn’t measure the wind level, that might be an underlying cause of the differences in bee abundance you might observe. Other things like controlling the amount of time you spend observing and the size of the quadrants within the garden you are studying would also be important in avoiding the potential confounding effects of these variables.
I hope that helps! Good luck with the rest of your experiment!
mbrowne