na research article, the authors mentioned that they used multiple regression to study whether a set of explanatory variables, gender, veight, age, are strongly related to a response variable, blood pressure. The results of their analysis were presented with a set of p-values for esting regression coefficients equal to zero or not in the following table. [There may be more than one correct answer.] Predictor variables p- value Gender .090 Weight .008 Age .036
Addition Rule of Probability
It simply refers to the likelihood of an event taking place whenever the occurrence of an event is uncertain. The probability of a single event can be calculated by dividing the number of successful trials of that event by the total number of trials.
Expected Value
When a large number of trials are performed for any random variable ‘X’, the predicted result is most likely the mean of all the outcomes for the random variable and it is known as expected value also known as expectation. The expected value, also known as the expectation, is denoted by: E(X).
Probability Distributions
Understanding probability is necessary to know the probability distributions. In statistics, probability is how the uncertainty of an event is measured. This event can be anything. The most common examples include tossing a coin, rolling a die, or choosing a card. Each of these events has multiple possibilities. Every such possibility is measured with the help of probability. To be more precise, the probability is used for calculating the occurrence of events that may or may not happen. Probability does not give sure results. Unless the probability of any event is 1, the different outcomes may or may not happen in real life, regardless of how less or how more their probability is.
Basic Probability
The simple definition of probability it is a chance of the occurrence of an event. It is defined in numerical form and the probability value is between 0 to 1. The probability value 0 indicates that there is no chance of that event occurring and the probability value 1 indicates that the event will occur. Sum of the probability value must be 1. The probability value is never a negative number. If it happens, then recheck the calculation.
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![QUESTION 2
In a research article, the authors mentioned that they used multiple regression to study whether a set of explanatory variables, gender,
weight, age, are strongly related to a response variable, blood pressure. The results of their analysis were presented with a set of p-values for
testing regression coefficients equal to zero or not in the following table. [There may be more than one correct answer.]
Predictor
variables
p-
value
Gender
.090
Weight
.008
Age
.036
The result indicates that Gender is significantly related to the blood pressure at 10% level of significance.
The result indicates that Gender is significantly related to the blood pressure at 5% level of significance.
The result indicates that Age is not significantly related to the blood pressure at 5% level of significance.
The result indicates that Weight is not significantly related to the blood pressure at 5% level of significance.
The result indicates that Weight is significantly related to the blood pressure at 1% level of significance.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F25a33f2a-68f2-433d-bc18-d9cec2c33332%2F96d29ec6-d19a-43f2-bc68-7ff7f0ea604d%2Ffhnyncj_processed.png&w=3840&q=75)
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