Instructions: drag the tiles to the correct boxes to complete the pairs. match each description to the correct relationship between the variables. tiles: an increase in the number of movies produced in a year and growth of the pharmaceutical industry an increase in the number of defects on a bolt of fabric and a decrease in the number of quality checks an increase in life expectancy and a decrease in fatal illnesses pairs: correlation causation no relationship

Step-by-step explanation:

An increase in life expectancy and a decrease in fatal illnesses (correlation)

Reason: Because we are measuring the relationship between the two variables i) life expectancy time and ii) decreases in fatal illnesses.

Obviously the two are strong positively correlated and hence correlation is matched

An increase in the number of defects on a bolt of fabric and a decrease in the number of quality checks (causation)

Here when number of quality checks is decreased, control is lost leading to more number of defects.  Hence causation is matched.

An increase in the number of movies produced in a year and growth of the pharmaceutical industry (no relationship) 

Here industries of movies has no control or relation with pharmaceutical industry.  Hence no relationship is answer.

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homozygous. one is homozygous, while two is heterozygous.