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

Ans = Yes

Explanation=Linear regression is the most widely used statistical techniques.It is always to model a relationship between two sets of variables.The result is a linear regression equation that can be used to make predict about data.

sir Francis Galton used regression to describe the phenomenon how nature tends to damper excess physical traits from generation to generation.

We are probably wth plotting line graph with x-axis and y-axis.

The x variable is some time called independent variable.simple linear regression plots on independent variables x against one dependent variables.More advanced regression technique use multiple independent variables.

Regression analysis can result in linear or non linear graph a linear regression where relationship between variables can be described with straight line