The data in Table P-1 are weekly prices for a stock.

Table P-1

Week	Prices	Week	Prices	Week	Prices	Week	Prices
1	333	16	265	31	204	46	225
2	310	17	281	32	187	47	224
3	293	18	294	33	187	48	228
4	285	19	300	34	182	49	233
5	284	20	284	35	210	50	239
6	283	21	282	36	221	51	251
7	291	22	250	37	222	52	261
8	312	23	231	38	236	53	268
9	288	24	247	39	256	54	304
10	280	25	252	40	253	55	285
11	255	26	250	41	250	56	274
12	258	27	253	42	232	57	281
13	266	28	255	43	221	58	259
14	271	29	236	44	214	59	270
15	272	30	221	45	221	60	251

Is the time series data stationary? What correction would you recommend if the series is nonstationary?

Using MINITAB program for fitting an ARIMA model to the prices series, perform diagnostic checks to determine the adequacy of your fitted model.

After an appropriate ARIMA model has been found, write down the equation for forecasting the stock price for the week 61.