Question

I need these questions answer for these data sets.

(a) Determine the linear prediction rule for predicting empathy (Y) from satisfaction (X). Û = 20.40 + (11.80) (Round to two decimal places as needed.) (b) Draw the regression line. Choose the correct graph below. ОА. B OC. AY AY 100- 100- AY 100- 100- 0 0- 0 0- 0 0 (c) Use the linear prediction rule to figure the predicted empathy score of a therapist whose patient had a satisfaction score of 4. Predicted empathy score = 67.60 (Round to two decimal places as needed.) (d) Use the linear prediction rule to figure the predicted empathy score of a therapist whose patient had a satisfaction score of 2. Predicted empathy score = 44.00 (Round to two decimal places as needed.) (e) Use the linear prediction rule to figure the predicted empathy score of a therapist whose patient had a satisfaction score of 1. Predicted empathy score = 32.20 (Round to two decimal places as needed.) (f) Determine the standardized rearession coefficient.

Answer 1

y=a+bx b= na (ay) - {xiegi n Ela;)2 – (3x;) a = y bł Ediyi = 792 5601;)? - 39 E ti = 11 n=4 Ey; = 251 ♡ i b= 4(792) - (11) (251) 4 (39) - (01) y = 251 4. (b=11.6286 251 - (11.6280) () 4 (a = 30.7714) Y = 30.7714 + 11.628613) fax *=4 → Y= 77.2258 x=2 53.9686 x=1 4 = 42.34 (R? - 0.7364

i	xi	yi	(xi)^2	(xi*yi)
1	3	72.0	9	216
2	5	90.0	25	450
3	2	37.0	4	74
4	1	52.0	1	52
Total	11	251.0	39	792.0

100.0 90.0 y = 11.629x + 30.771 R? = 0.7364 80.0 70.0 60.0 50.0 40.0 30.0 20.0 10.0 0.0 1 2 3 4 5 6 X

Si=13 Saiyi - 880 Exi. 51 n=4 EY; = 241 ५ 4 201 4 b- 4(880 - (13)(240) Ib=11.0571 4 (51) - (13) ² 241-(11057) 241 a = 24.3144 y = 24.3144 + 11.057(n) for x=4 → 68.5428 x= 2946.4288 x=1 y = 35.3715 (R²=0.71

i	xi	yi	(xi)^2	(xi*yi)
1	4	67.0	16	268
2	5	89.0	25	445
3	3	41.0	9	123
4	1	44.0	1	44
Total	13	241.0	51	880.0

100.0 90.0 80.0 y = 11.057x + 24.314 R = 0.71 70.0 60.0 50.0 40.0 30.0 20.0 10.0 0.0 1 2 3 4 5 6 X

, Exy = १५० E (1): 47 57013 → 13 ६५ - 33479-334 025 bas(१५3) - (13) (334) →b-5655 5(47) - (15) २ - 3१५ (56515)(१) Q-5211061 -52-1061 +5.6515(7) -५-19-74.7127 12 →9-03-५०१॥ X Y-S795 R-0.1632

i	xi	yi	(xi)^2	(xi*yi)
1	4	69.0	16	276
2	5	91.0	25	455
3	2	38.0	4	76
4	1	44.0	1	44
5	1	92.0	1	92
Total	13	334.0	47	943.0

100.0 90.0 80.0 y = 5.6515x + 52.106 R2 = 0.1637 70.0 60.0 > 50.0 40.0 30.0 20.0 10.0 0.0 0 1 2 3 4 5 6 х