Mr Jones students kept track of the hours that they studied the week previous to the test here the breakdown of the hrs studied and score x .20 6 9 18 4 5 12 y.95 45 55 90 22 30 70 .is this a positive, negative, no correlation. Find the equation of the line of best fit for data .what points are used to show the steps used to get equation. Using 2 points find the slope .once you find the slope use the point to substitute values to find b the equation should be y= mx +b. Use the equation to predict the scores for two people who studied 15 hrs and 9 hours ( hint substitute 15 in for x and 9 in for x you should have 2 answers. Was the datd correct yes or no.

Option C is incorrect

Below is the actual data on the speed a person walks or runs in miles/hour and the calories the person burns per lap. Find the linear equation of best fit for this data. Compare the model to the data. Does the model seem to fit the data? Explain. What is the significance of the y-intercept? What is the slope and what does it mean? What is the x-intercept and what does it mean? What is the correlation coefficient and what does it mean? Speed (mph) Calories/lap 1 42 2 31 3 27 4 41 5 40 6 40 7 39 8 38 r answers to the nearest hundredth. The y-intercept means that if a person runs at ----------mph they will burn__________ per lap. The slope means that for each mph you increase your speed, you will burn an additional------------calories pay lap

Help me answer part C only. .9793 is wrong

You have found that the effect of IQ on test score can be modelled as a straight line with an intercept of -3.56 and a slope of 0.1. For an IQ of 100 (x) what would be the predicted test score (y)? A. 6.44 B. 3.56 C. 356.1 D. 100

The graph shows a linear relationship.find the slope

You have found that the effect of IQ on test score can be modelled as a straight line with an intercept of -3.56 and a slope of 0.1. For an IQ of 100 (x) what would be the predicted test score (y)?   A. 6.44   B. 3.56   C. 356.1   D. 100