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BUAL 2650 CHEN YAN Q&A LATEST 2024/2025 | 100% PASS
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involves the discovery, interpretation, and application of meaningful patterns toward effective decisions making in the workplace"
probabilities and provides tools for prediction and forecasting models"
interprets data"
technology in order to solve complex problems."
and BMI is positive because it is going up. It is weaker towards the higher on the curve however very strong near the bottom of the curve around point (20,20)" "This scatter plot shows the relationship between an iPhone app's price and the quantity sold at different prices in thousands. A line of best fit is given.
shows a negative, strong relationship between Apple App's price and Quantity Sold."
distance away from the points on the graph. Or the variability. This shows that these two items have a very high, negative correlation to one another and affect each other strongly." "The coefficient of determination (r^2) is 0.92. Please interpret it. (of apple's app price and quantity
Quantity Sold. This is also considered strong because it is >.70." "In a study of 6- to 11-year-old elementary school children, researchers find a strong positive association between reading level and weight (i.e. Heavier children have higher reading levels). Please identify the
Dependant Variable - Reading Level"
"In a study of 6- to 11-year-old elementary school children, researchers find a strong positive association between reading level and weight (i.e. Heavier children have higher reading levels). Please identify a
have more money, which means they have a better education. Or the heavier kids have more free time than not as heavy kids, due to physical activity, causing them to have more practice time reading."
year"
-sales is the dependent variable -time is the independent variable -can use quadratic regression"
b. For simple linear regression we use regular r square, and for multiple, we use adjusted r square, the adjusted value will help us adjust our variables and their values."
Who p-value for individual variable"
Multicollinearity"
hypothesis" "A Tufts University study finds that 40% of 12th grade females feel they are overweight. To determine
"A Tufts University study finds that 40% of 12th grade females feel they are overweight. To determine
"A Tufts University study finds that 40% of 12th grade females feel they are overweight. To determine whether this percent is the same as that of college age females, the correct alternative hypothesis is
"A two-sample test for means was conducted to determine if he completion time for continuing education programs for nurses differed when costs are paid by employers (Yes) versus when individuals paid out of his or her own funds (No).
tailed"
score on test 1 when the score on test 2 stays constant, we estimate that a potential employee's odds of success increase by 62 percent."
hypotheses
old customer who has not purchased in a year is more likely to respond. This is because based on our fitted logistic regression model age is increasing and positive and this is the same for days since last purchased. Therefore, the older you are and the more days since the last purchase, the more likely you are to respond."
"________ is a collection of techniques that seek to group or segment a collection of objects or observations into subsets, such that those within each subset are more closely related to one another
"Divisive clustering method is different from agglomerative clustering methods in that divisive clustering
"If the Euclidean distance were to be represented in a right triangle, which of the following would be
"In the ________ method, the distance between groups is defined as the distance between the closest
"Which of the following is an example of time series problem?
independent variable" "Spam filtering for e-mails can be seen as an example of which of the following types of approaches of
the smallest number in the matrix" "Finish the following equation to model time series data with a linear trend. (Fill in the blank)
"1. Explain how to use this information to draw a conclusion if the null hypothesis is Clearly state the p- value and your conclusion.