Here is a bivariate data setX represents the grades of five students on their first Math test. Y represents the grades of the same five students on their second Math test Using a graphing calculator answer the following questions . х: 63.5, 85.6, 74.3, 59.3, 64, у: 65.3, 57.5, 62, 63.5, 57.1 Round all answers to the nearest hundredth Find the regression equation for the data above If a student were to get an 80% on the first test , what would you predict that student to get on the second test? If a student were to get a 60% on the second testwhat would you predict that student to have gotten on the first test? Based on the correlation coefficient does a linear model seem to be a good fit for this data? Explain

I need A & also the equation regression line for set of 9 points & the description Thankyou sm

please see attached - thank you in advance

Write the linear model to test the hypothesis that there is no treatment effect. Clearly describe each term in the model, and the range of the subscripts. Write the null hypothesis that you are testing.   Call: lm(formula = score ~ list, data = hearing)   Residuals:      Min       1Q   Median       3Q      Max -14.7500  -5.5833  -0.2083   6.3333  16.4167   Coefficients:             Estimate Std. Error t value Pr(>|t|)    (Intercept)   32.750      1.612  20.315  < 2e-16 *** listList2     -3.083      2.280  -1.352  0.17955    listList3     -7.500      2.280  -3.290  0.00142 ** listList4     -7.167      2.280  -3.144  0.00225 ** --- Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1   Residual standard error: 7.898 on 92 degrees of freedom Multiple R-squared:  0.1382,  Adjusted R-squared:  0.1101 F-statistic: 4.919 on 3 and 92 DF,  p-value: 0.00325

Find the regression line of the points: (1, 9),   (2, 8),   (8, 4),   (9, 2)

Using the data in the Excel spreadsheet "auto.xlsx", estimate a regression to answer the following question. How much does a 1 inch increase in LENGTH corresponds to a _________________ dollars increase in PRICE. Use negative values if it results in a decreased price. Round your answers to two decimals.

What is the equation of the regression line for the (ху) рairs of data points (1, 5), (3, 7), (4, 6), (5, 8), and (7, 9). Select one: а. 4.4-.65x b. .65-4.4x С. .65+4.4x d. 4.4+.65x