Question

According to an idea called the Red Queen hypothesis, sexual reproduction is favored over asexual reproduction when pathogens are present because it increases genetic diversity, allowing some of the host offspring to escape the pathogen. Some researchers were interested in testing this idea in aphids which can reproduce both asexually and sexually. In this study, the researchers measured rates of fungal infection and frequency of sexual reproduction across many populations to see if these two variables were related. It was unclear which variable was more likely to affect the other, since it's possible that the aphids respond to fungal infection by reproducing sexually more often, or that populations that happen to reproduce sexually more often are better able to fight fungal infection, or both. The best type of analysis for these data would be: O The Bartlett test. The Pearson correlation. O The linear regression. The one-way analysis of variance. O The 2-sample t-test. The paired t-test O Ax2 test of association. O The binomial test (proportions test)

Answer 1

In order to determine which variable is more likely to effect the other, we have to build two separate linear regression model. In one model sexual reproduction is the dependent variable and fungal infection is the independent variable. In the other model, fungal infection is the dependent variable and sexual reproduction is the independent variable.