The statistical goal of multiple regression analysis is to build a linear equation model that identifies the optimal weighted linear combination of independent variables in the study in order to optimally predict the reference variable.
Regression analysis is usually performed for one of two purposes. Predicting the value of the dependent variable of a person whose information about the explanatory variable is available, or estimating the effect of the explanatory variable on the dependent variable.
In multiple regression analysis, researchers can determine the strength of the relationship between the outcome (dependent variable) and multiple predictors, and the importance of each predictor in the relationship, often the effect of other predictors. It can be evaluated by statistically eliminating it.
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Answer:
Step-by-step explanation:
Given data:
standard deviation is 
As distribution is normal in shape and values are symmetrical
The standard deviation rule says that 95% of observation lies between the second standard deviation of the mean
so, approximately only 5% of observation lies outside the interval and normal shape is symmetric. hence approximately 0.15% of observation lies above the interval
almost 0.15% of students spent more amount is 529
Answer:
1. A is the null hypothesis. The null hypothesis is the statement in which everything is operating as expected; nothing unusual is going on.
2. C is the alternative hypothesis. The problem says that you are looking to see whether or not the machine is filling with an average of 24 ounces, so it could be over or under filling. B only accounts for under filling.
Step-by-step explanation:
Answer:
72°
Step-by-step explanation:
Angle 8 and angle 14 are corresponding angles.
∠8=∠14
72=∠14
Answer:
d=3
Step-by-step explanation:
