Answer:
The accurate answer is False.
Step-by-step explanation:
In order to elucidate or forecast the response variable in any regression analysis, multiple explanatory variables are utilized. These are frequently referenced as response variables or dependent variables.
Risk factors and confounding variables are labeled as predictor or independent variables.
These definitions form a crucial part of regression analysis which is a method employed to evaluate the link between one or more risk factors and a designated outcome variable.
Answer:
x = -4/45
Step-by-step breakdown:
180x=2(30÷3)+17-5•11+2÷1
We first need to simplify the right side. The initial step involves the parentheses
180x=2(10)+17-5•11+2÷1
Next, we multiply and divide, proceeding from left to right after the equals sign.
180x=20+17-5•11+2÷1
180x=20+17-55+2÷1
180x=20+17-55+2
Next, we add and subtract, moving from left to right in relation to the equals sign.
180x=37-55+2
180x =-18+2
180x = -16
Then divide each side by 180
180x/180 = -16/180
x = -4/45
Answer:
The total probability exceeds 100%, indicating a problem with the findings; moreover, the distribution shows excessive uniformity which disqualifies it as a normal distribution.
Detailed explanation:
The sum of probabilities should be exactly 100%. When you add the probabilities of this distribution:
22+24+21+26+28 = 46+21+26+28 = 67+26+28 = 93+28 = 121
This exceeds 100%, highlighting a significant error in the results.
A typical normal distribution possesses a bell curve. If we plot the probabilities for this distribution, we'd see bars at 22, 24, 21, 26, and 28.
The bars would fail to form a bell-shaped curve, confirming that this is not a normal distribution.
1.29(30) +2 Step-by-step explanation: Begin by calculating 1.29 multiplied by 30, which results in 38.7. Next, add 2 to this sum to arrive at 40.7. Consequently, the total expense amounts to $40.70.
