Researchers studied the conduction velocity of axons to see if their state, myelinated or unmyelinated, effected the conduction velocity. It was know that conduction velocity is dependent upon the thickness of the axon and that cell diameter of myelinated axons is larger than the cell diameter of unmyelinated axons. The table below was produced when adjusting for each axons thickness. a. Name the test you would use to analyze this data and briefly explain/justify why that method would be the most appropriate one to use. b. Write out the complete overall strategy for how you would analyze this data, including writing out the FULL general linear model for any steps. c. What is your conclusion about if the myelination state effectively predicts the conduction velocity of axons? What would you need to support your conclusion?   Variation Source SS df MS F-ratio p-value Conduction Velocity (CV) 364.7 1 364.7  19.8 <<0.01 Axon Diameter (AD) 110.6 1 110.6 6.01 0.025 CV*AD 20.3 1 20.3 1.10 0.44 Residual 386.8 21 18.4

The table below shows the average monthly rainfall in inches for Los Angeles, California. Which model best represents the data set? Month 1 2 3 4 7 8 10 11 12 Rainfall 3.33 3.68 3.140.83 0.31 0.06 0.01 0.13 0.32 0.37 1.05 1.91 O y = 0.09x² – 1.43x + 5.51 Oy = -1.43x + 5.51 O y = 0.01x? +1.43x + 5.51 O y = 1.43x +5.51

Check my w Required information To assess the effect of piston ring type and oil type on piston ring wear, three types of piston rings and four types of oil were studied. Three replications of an experiment, in which the number of milligrams of material lost from the ring in four hours of running was measured, were carried out for each of the 12 combinations of oil type and piston ring type. With oil type as the row effect and piston ring type as the column effect, the following sums of squares were observed: SSA 1.293, SSB = 0.9340, SSAB = 0.2485, SSE = 1.7034. How many degrees of freedom are there for the effect of piston ring type?

Data were gathered and displayed on the scatter plot. 15 y 14 13 12 11 10 9 8 7 6 5 4 3 2 1 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Which of the following is the best equation to model the data? ŷ = 11.5(0.81)* Oŷ = 8.1(0.115)* Oŷ= -0.115x+8.1 Oŷ=-0.81x+11.5

When water flows across farmland, some soil is washed away, resulting in erosion. An experiment was conducted to investigate the effect of the rate of water flow (liters per second) on the amount of soil (kilograms) washed away. The data are given in the following table:   Flow rate 0.31 0.85 1.26 2.47 3.75 Eroded soil 0.82 1.95 2.18 3.01 6.07           Let xx represent the flow rate variable and yy represent the variable for soil eroded. Then   \bar x = 1.73, s_x = 1.38, \bar y = 2.81, s_y = 1.99xˉ=1.73,sx​=1.38,yˉ​=2.81,sy​=1.99   Use this to complete the following calculation of the correlation coefficient for these data.   r = \frac{1}{n-1}\left[\left(\frac{x_1 - \bar x}{s_x}\right)\left(\frac{y_1 - \bar y}{s_y}\right) + \left(\frac{x_2 - \bar x}{s_x}\right)\left(\frac{y_2 - \bar y}{s_y}\right) + \cdots + \left(\frac{x_n - \bar x}{s_x}\right)\left(\frac{y_n - \bar y}{s_y}\right)\right]r=n−11​[(sx​x1​−xˉ​)(sy​y1​−yˉ​​)+(sx​x2​−xˉ​)(sy​y2​−yˉ​​)+⋯+(sx​xn​−xˉ​)(sy​yn​−yˉ​​)]…

Endocrinology In Section 2.10, we described Data Set BONEDEN.DAT concerning the effect of tobacco use on BMD. Note: 2.38-2.40 Involve computing a new variable C.  Compute C using the formula given and then use STATA to produce the output requested.   2.38. For each pair of twins, compute the following for the lumbar spine: A = BMD for the heavier-smoking twin − BMD for the lighter-smoking twin = x1 − x2 B = mean BMD for the twinship = (x1 + x2)/2 C = 100% × (A/B) Derive appropriate descriptive statistics for C over the entire study population. 2.39. Suppose we group the twin pairs according to the difference in tobacco use expressed in 10 pack-year groups (0–9.9 pack-years/10–19.9 pack-years/20–29.9 pack-years/30–39.9 pack-years/40+ pack-years). Compute appropriate descriptive statistics, and provide a scatterplot for C grouped by the difference in tobacco use in pack-years 2.40. What impression do you have of the relationship between BMD and tobacco use based on Problem 2.39?

Interpret effect size t(30)=1.12, p=.34, n2=.001 small, medium, or large

Wrinkle recovery angle and tensile strength are the two most important characteristics for evaluating the performance of crosslinked cotton fabric. An increase in the degree of crosslinking, as determined by ester carboxyl band absorbance, improves the wrinkle resistance of the fabric (at the expense of reducing mechanical strength). The accompanying data on x = absorbance and y = wrinkle resistance angle was read from a graph in the paper "Predicting the Performance of Durable Press Finished Cotton Fabric with Infrared Spectroscopy".† x 0.115 0.126 0.183 0.246 0.282 0.344 0.355 0.452 0.491 0.554 0.651 y 334 342 355 363 365 372 381 392 400 412 420 Here is regression output from Minitab: Predictor Constant absorb S = 3.60498 Coef 321.878 156.711 SOURCE Regression Residual Error Total SE Coef 2.483 6.464 R-Sq = 98.5% DF 1 9 10 SS 7639.0 117.0 7756.0 T 129.64 24.24 0.000 0.000 R-Sq (adj) = 98.3% MS 7639.0 13.0 F P 587.81 (a) Does the simple linear regression model appear to be…

Water is poured into a large, cone-shaped cistern. The volume of water, measured in cm, is reported at Which of the following would linearize the data for volume and time? different time intervals, measured in seconds. The scatterplot of volume versus time showed a curved Seconds, cm3 O In(Seconds), cm3 Seconds, In(cm') pattern. O In(Seconds), In(cm³)

Hello,  Please help me with all subparts of this answer for a study guide.