The residuals for data set x and data set y were calculated and plotted on separate residual plots. if the residuals for data set x do not form a pattern and the residuals for data set y form a pattern, what can be concluded?

a. data set x is not linear, and data set y is not linear.
b. data set x is not linear, and data set y is linear.
c. data set x is linear, and data set y is linear.
d. data set x is linear, and data set y is not linear.

B. Data set X is not linear, and data set Y is linear.

Step-by-step explanation:

We assume here that "form a pattern" means "roughly forms a line"... because a pattern doesn't necessarily equal a line, it would be a curve that would easily be interpreted too, but it wouldn't be linear.

Since you cannot form a pattern, and based on your choices for answer, we have have to say that data set X is NOT linear.

On the opposite, since the data set Y produces a pattern, it has to be linear.

So, X = NOT linear, Y = linear.

fahrenheit

step-by-step explanation:

fahrenheit is more precise than celsius. the ambient temperature on most of the inhabited world ranges from -20 degrees fahrenheit to 110 degrees fahrenheit—a 130-degree range. on the celsius scale, that range is from -28.8 degrees to 43.3 degrees—a 72.1-degree range. this means that you can get a more exact measurement of the air temperature using fahrenheit because it uses almost twice the scale.