A life cycle shows how a living thing grows, changes, and reproduces. True or false?

Aplaintiff filed a civil action based on negligence against a defendant in federal district court, alleging that the defendant negligently ran a red light at an intersection and collided with the plaintiff's vehicle, causing the plaintiff's injuries. a week after the close of discovery, the plaintiff filed a motion for summary judgment on the issue of whether the defendant was negligent. with the motion, the plaintiff filed (i) his own sworn affidavit, which stated that the traffic signal was green as he entered the intersection, (ii) an affidavit of a witness who was driving the car behind him, which stated that the witness saw the entire incident and that the plaintiff's traffic signal was green as he approached and entered the intersection; and (iii) an affidavit of another witness, which stated that she saw the entire incident and that the defendant's signal had been red for several seconds before the defendant entered the intersection and was still red when the defendant entered the intersection. the defendant filed a response to the motion, noting that her answer denied negligence and further denied that her traffic signal was red, and argued that the issue of negligence and the issue of whether her traffic signal was red were in dispute, so those issues should be tried to a jury. how should the court rule on the plaintiff's motion?

Which common characteristic of renaissance buildings does this image show

Match the item to the definition: indirect correlation, correlational research, correlational research, covary, pearson correlation coefficient, pearson correlation coefficient, direct correlation a. used to describe the relationship between two or more naturally occurring variables b. determines whether scores on the two variables covary c. whether two variables vary or change together d. denoted by the symbol "r" e. provides information about the sign (direction) and magnitude(strength) of the linear relationship. f. when the correlation is positiveg. when the correlation is negative