Select the types of models that can be used to predict a set of data. select all that apply.
linear
quadratic
cubic
exponential

Step-by-step explanation:

Predictive modelling is used in statistics to predict certain outcomes from the analysis of a bunch of data, which was systematized.

The most common prediction model is linear regression, which is based on the calculation of a linear relation between variables that helps to predict future outcomes.

Also, exponential models are used to make predictions, but in this case it's used to predict exponential growth or decays like population growth of bacteria or people. This models, using current data, help to predict the population growth in the future.

In third place, quadratic modelling is applied in physics when we study projectiles, they describe a parabolic trajectory which is perfectly model with a quadratic function, which can use to predict important elements of the projectile like angle of launch, or how far is gonna get.

Therefore, the answer is linear, exponential and quadratic.

the data of the detroit pistons in numerical order from least to greatest is 0.30, 0.37, 0.55, 0.62, 0.69, 0.72, 0.73, 0.75, 0.77, 0.78, 0.80, 0.81, 0.81, 0.83, 0.84, 0.89

the data of the miami heat in numerical order from least to greatest is 0.50, 0.50, 0.56, 0.57, 0.67, 0.72, 0.72, 0.72, 0.75, 0.75, 0.76, 0.81, 0.82, 0.90, 1.00, 1.00

the detroit pistons median : 1.52

the miami heat median: 1.47

the iqr of this data is 0.05