At night, the stomata of most plants will ________
a. regulate the diffusion of nitrogen
b. open
c. close
d. close to prevent the loss of oxygen from the leaf
e. regulate the diffusion of carbon dioxide
c
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Which of the following statements is true?
1.Marine teleosts are hyperosmotic to their environment and drink seawater to replace lost body fluids.
2.Freshwater fishes are hypoosmotic to their environment and excrete large volumes of dilute urine to get rid of excess water.
3.Both of these statements are true.
Which of the following best explains why herbivorous organisms are more energetically efficient than those that consume meat?
a. herbivorous organisms are slower and therefore burn fewer calories b. herbivorous organisms obtain their energy directly from the sun c. herbivorous organisms are at the top of the food chain d. herbivorous organisms need to consume less food than meat eaters to obtain the same amount of energy e. herbivorous organisms are at the bottom of the food chain
Connective tissue
A. receives, generates, and conducts electrical signals throughout the body. B. forms continuous sheets that line body surfaces. C. is rich in extracellular matrix. D. generates force that facilitates movement. E. is composed of cells held together by tight junctions.
Suppose you have the following regression results from a regression of home prices on house attributes for a random sample of house transactions: CoefficientsStandard ErrorIntercept16310.04114.5Number of Bedrooms7295.31399.9Number of Bathrooms23473.04032.0r-squared = 0.302 Adjusted r-squared = 0.299If we assume that the proper model to predict the market value of houses is given by this regression, and we also happen to know that number of bathrooms and number of bedrooms is uncorrelated both in the sample and in the target population of house sales, why might we still want to include number of bathrooms in a regression to identify the causal effect of number of bedrooms on home prices?
A. It provides a sanity check on our regression. B. It increases the r-squared value. C. It also leads to more consistent estimates of the treatment effect. D. It lowers the adjusted r-squared.