For non-linear relationships, correlations can give correct results. Group of answer choices, jmultiple choice: never, as this is not meaningful this is not answerable sometimes, since non-linearity can reduce to linearity always, as correlations are independent of linearity

Q: Which of the following statements about correlation are true? Check all that apply.

A: Here use definition of correlation coefficient.  Correlation describe how data are correlated with…

Q: Choose two variables you think are correlated. Gather some data on the two variables and organize it…

A: As per given by the question, choose two variables and gather some data on the two variable and…

Q: Fast food is often considered unhealthy because much of it is high in both fat and calories. But are…

A: Given, The values of Fat and Calories, On the basis of these, the correlation coefficient is

Q: Answer the following questions. The same response may be the correct answer for more than one…

A: (a)   Identify the data set where it has an apparent negative, but not perfect linear relationship…

Q: company is also shown. % Working % 67

A: * Hi! Thank you for the question, As per the honour code, we are allowed to answer three sub-parts…

Q: The weight, y, in pounds, of kittens was tracked for the first 8 w where t represents the number of…

A: Y = 1.7 + 1.48t  Linear representation of 8 weeks . Now want to predict for week 10

Q: If the plotted points spread all over the graph, then there exists. negative Jy O positive no O None…

A:

Q: 4. A scatterplot is graphed with the time it takes a child to eat their breakfast in the morning on…

A: Here the dependent variable (y) is the child's age in years.The independent variable (x) is the time…

Q: For Discussion #3, find an example of each of the following and cite your source. two variables with…

A: Correlation coefficient is a measure which indicates the strength of relationship or association…

Q: The average number of minutes that a sample Time Spent Using a Cell Phone (minutes) 27 25 45 19 55…

A: Sr.No. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 Data value 10 14 15 15 16 19 25 25 26 27…

Q: For non-linear relationships, correlations can give correct results. True or False

A: It is needed to determine whether for non-linear relationships, correlations can not give correct…

Q: R'is the square of the correlation, so both measure the direction of the relationship between two…

A: R-Squared is square of correlation r but they measures different things.

Q: Which of the following scatterplots indicates a strong negative linear relationship between X and Y?…

A: Given there are four scatter plot, we have to choose which of the following scatter plots indicates…

Q: One general belief held by observers of the business world is that taller men earn more money than…

A: The linear regression equation of Y on X is given by, Y=a+bx where Y is the dependent variable X…

Q: Give examples of 2 variables that are positively correlated and two that are negatively correlated.

A: We need to use the concept of Positive and Negative correlation.

Q: What types of correlations do these first two graphs of the article show?

A: Here use given graphs and correlation concept Variable on  X axis increase and the variable on y…

Q: Identify the type of correlation from the graph. 12- 10 0 . 2 6 Positive correlation Negative…

A: Solution-: We identify the type of correlation from the given graph:

Q: Linear Regression  Discuss any two variables that you believe are correlated. Clearly state your…

A: Linear regression

Q: A pediatrician wants to determine the relation that exists between a child's height (x) and head…

A: The data is defined below as follows:   From the information, it is clear that   Let X denotes the…

Q: During the class, it was pointed that regression and correlation (betwee the following statements is…

A: During the class regression and correlation related to each other.

Q: If the correlation coefficient is close to -1, the linear relationship between two variables is very…

A:

Q: If there is a positive correlation between X and Y, what can you conclude about the equation of the…

A: Correlation is used to measure the strength of association between the two numerical variables. It…

Q: tivity and weight - what is the most striking problem with trying to find the correlation in this…

A:

Q: Below is a scatterplot of a student’s SAT score and their college GPA. Suppose we want to decide if…

A: The interpretations of scatterplot is,If the points are in upward direction, then there is positive…

Q: An aerobic exercise instructor remembers the data given in the following table, which shows the…

A: Since you have posted a question with multiple sub-parts, we will solve first three sub- parts for…

Q: = [xy 0.368 (Type an integer or decimal rounded to three decimal places as needed.) c. Describe the…

A: The given correlation coefficient value is rxy=−0.368.Here the variables of interest are "screen…

Inference in AI

The inference is finding a conclusion or result based on any data, events, and any information. Usually, there will be a set of conditions and the conclusion is made, which satisfies all the given conditions are true. The conclusion is made according to the inference rules. Any artificial intelligence agent or an intelligent system uses the inference engine to find a better result or output. The work of the inference engine is to analyze the fact and figures based on all circumstances. After the analysis, the machine concludes this fact and gives it to the agent. The agent uses this conclusion for further processing and decision-making. Intelligent systems will generate new logic from existing ones based on the facts.