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- the table shows the attendence at a minor-league baseball game for the first 8 games the season game 1 2 3 4 5 6 7 8 attendence 8,673 8,903 9,103 9,091 9,117 9,134 9,256 9,573 a. use the data table and technology to generate a line of of best fit. round the slope and y-intercept to the nearest whole number. what do the slope and y-intercept of the line represent in the problem situation? b. identify the correlation, coefficient, or r-value, of the line. what does this value tell you c. predict the attendence for the game 12. explain your reasoningThe correlation between two variables is given by r = 0.0 indicates: a. All of the points must fall exactly on a horizontal straight line.b. All of the points must fall exactly on a vertical straight line.c. perfect positive relationship between the two variablesd. perfect negative relationship between the two variables. e. The best straight line through the data is horizontal.The correlation between two variables is given by r = 0.0 indicates:Select one:a. All of the points must fall exactly on a horizontal straight line.b. All of the points must fall exactly on a vertical straight line.c. perfect positive relationship between the two variablesd. perfect negative relationship between the two variables. e. The best straight line through the data is horizontal.
- Using the regression line attached. The best (i.e., the “most correct”) interpretation of the slope in the plot is: a) for a one-unit increase in height, weight will definitely increase by 3.899 units b) for a one-unit increase in height, weight, on average, increases by 3.899 units c) for a one-unit decrease in height, weight, on average, increases by 3.899 units d) for a one-unit decrease in height, weight, on average, increases by 3.899 units e) for a one-unit increase in height, weight, on average, decreases by 3.899 unitsa. In a left-tailed test, α=.05, the critical value of z is:-1.645-1.962.33-2.58 b. The ____________ is the same as the point-slope form equation of a line, that is used for prediction.trendlineregression linefrequency polygonnone of thesec. If two variables are significantly correlated, we can predict the value of the dependent variable if we know the value of the independent variable. The process is called _______correlation analysishypothesis testingregression analysisestimationd. Involves two variables that are taken from a sample or population.univariate databivariate datahypothesisestimatee. For the decision rule: Reject the null hypothesis if the computed statistic _______ positive critical value or if the computed value statistic is ______ negative critical value.≥ ; ≤> ; <= ; <> ; =f. An intelligent guess about the characteristic of a population is calledmeanproportionhypothesistest statisticThe table below shows the amounts of crude oil (in thousands of barrels per day) produced by a country and the amounts of crude oil (in thousands of barrels per day) imported by a country, for the last seven years. Construct and interpret a 95% prediction interval for the amount of crude oil imported by the this country when the amount of crude oil produced by the country is 5,509 thousand barrels per day. The equation of the regression line is ModifyingAbove .y=−1.137x+15,912.199. Oil produced, x 5,830 5,704 5,645 5,405 5,159 5,053 5,028 Oil imported, y 9,300 9,117 9,628 10,062 10,119 10,159 10,013 Construct and interpret a 95% prediction interval for the amount of crude oil imported when the amount of crude oil produced by the country is 5,509 thousand barrels per day. Select the correct choice below and fill in the answer boxes to complete your choice. (Round to the nearest cent as needed.) A. We can be 95% confident…
- Suppose you use regression topredict the height of a womanscurrent boyfriend by using her ownheight as the explanatory variable.Height was measured in feet from asample of 100 womenundergraduates, and their boyfriends,at Dalhousie University. Now, supposethat the height of both the womenand the men are converted tocentimeters. The impact of thisconversion on the slope is:define and state the difference between the three terms association, correlation and causation. find the regression line between the height of the strawberry plant and the water it gets per day and interpret the intercept and slope coefficients. find a 95% confidence interval around the plant estimate of the slope parameter from your model.The least-squares regression equation is y=784.6x+12,431 where y is the median income and x is the percentage of 25 years and older with at least a bachelor's degree in the region. The scatter diagram indicates a linear relation between the two variables with a correlation coefficient of 0.7962. Interpret the slope.
- Decide if gender of the students has a significant influence on the relationship between exam 2 and final results. Assume that the intercepts of the models for males and females are the same. Do not test for equality of intercepts. Are the slopes of the relationships between final and exam2 scores difference for males and females? Test on 10% significance. Include complex and simple model, hypotheses, test statistic, pvalue, and final regression equations for men and womena) Find the equation of the regression line. Provide slope and y-intercept, explicitly. Ifyou can’t find slope, use slope = −500.b) Create a 95% confidence interval for the slope of the regression line and explain whatyour interval means in the context of this problem. Provide Lower Confidence Limit andUpper Confidence Limit explicitly.Find the slope of regression line, y-intercept of regression line, coefficient of determination (r^2), and the linear correlation coefficient (r)