Question

You have collected data on the rate of pollination by an endangered pollinators in Denver. Your question is if the mean rate of pollination on native vs. non-native plant species differs. To do so, you monitored trips to different size patches of plants (native/non-native), from 10% of each to 90% of each. You did this for 10 different groups of each plant type, and then plotting a linear regression. Is that an appropriate design? Why or why not?

Answer 1

solution:

given data:

This design is appropriate.

Estimation of related variables can be found out using a regression line graph. Here we want to be able to predict the rate of pollination of a pollinator by using the data of distribution of native vs non-native species. This can be done by collecting data on variables of the linear regression graph. For this we would need two- variables - Rate of pollination for each plant type (native vs non-native) and Distribution % of each plant type covering a broad range (preferably from very low to low to moderate to high to very high). Collectin of these data will help us get a reliable information of the relation between these two.

The data collected is in the right direction . Distribution percentage of native vs non-native species varies from low to high. This can be easily used to plot a relation with rate of pollination in a regression graph. In addition to that, the sampling of 10 groups of each plant type helps to minimize the sampling error and bias.

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